The Eighth ICSA International Conference: Frontiers of
Interdisciplinary and Methodological Statistical Research

Co-sponsored by
American Statistical Association, Chinese Association of Applied Statistics,
Chinese Society of Probability and Statistics, Institute of Mathematical Statistics,
and International Society for Bayesian Analysis (ISBA)
Jointly organized by the College of Mathematics and Information Science, Guangzhou University

Date: December 19-22, 2010
Location: Guangzhou University, Guangzhou, China

 

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Session 1:(This session will be scheduled on 12/20 or 12/21, 2010.)

Session Organizers: Bin Wang, University of South Alabama, USA, bwang@jaguar1.usouthal.edu
                              Xiangrong Yin, University of Georgia, USA, xryin@stat.uga.edu
Session Title: Informatics and Measurement Errors 
Session Chair: Zhaohai Li, George Washington University, USA, zli@gwu.edu

Speaker 1: Jiayang Sun, Case Western Reserve University, USA, jiayang@sun.STAT.cwru.edu,
                  nFCA: Numerical  Formal Concept Analysis 

Speaker 2: Xiao-Feng Wang, Cleveland Clinic Foundation, USA, xfwang@gmail.com,
                 Semiparametric Deconvolution in Gene Array Background Correction 

Speaker 3: Bin Wang, University of South Alabama, USA, bwang@jaguar1.usouthal.edu,
                  Normalizing MicroRNA Microarray Data Based on a Measurement Error Model

 

Session 2:

Session Organizer: Xiaotong Shen, University of Minnesota, USA, xshen@stat.umn.edu
Session Title: Structured and Unstructured Learning for High-Dimensional Problems
Session Chair: Yongli Zhang, University of Oregon, USA, yongli.zhang@gmail.com 

Speaker 1: Ji Zhu, University of Michigan, USA, jizhu@umich.edu,
                 Extracting Communities from Networks 

Speaker 2: Junhui Wang, UIC, USA, Junhui@uic.edu,
                Consistent Selection of the Number of Clusters via Clustering Stability 

Speaker 3: Yongli Zhang, University of Oregon, USA, yongli.zhang@gmail.com
                 Model Selection Procedure for High Dimensional Data

 

Session 3: (This session will be scheduled on 12/20/2010.)

Session Organizer: Xiangrong Yin, University of Georgia, USA, xryin@stat.uga.edu
Session Title: High Dimensional Data Analysis
Session Chair: Bin Wang, University of South Alabama, USA, bwang@jaguar1.usouthal.edu

Speaker 1: Simon Sheather, Texas A & M University, USA, sheather@stat.tamu.edu,
                  A Dimensionality Test for Sliced Mean Variance-Covariance Inverse Regression

Speaker 2: Jeremy Wu, Census Bureau, USA, jeremy.s.wu@gmail.com,
                 Data Visualization with OnTheMap 

Speaker 3: Xiangrong Yin, University of Georgia, USA, xryin@stat.uga.edu,
                 Sufficient Dimension Reduction Based on the Hellinger Integral: A General, Unifying 
                 Approach 

 

Session 4:

Session Organizers: Guimin Gao, Virginia Commonwealth University, USA, ggao3@vcu.edu and
                             Hua Jin, South China Normal University, Guangzhou, China, jinh1@163.com
Session Title: Biostatistics in China, in honor of Professor Jiqian Fang
Session Chair: Hua Jin, South China Normal University, Guangzhou, China, jinh1@163.com

Speaker 1: Ying Lu, US Veterans Affairs Cooperative Study Program and Stanford University,
                  USA, ylu1@stanford.edu,
                  Efficiency of Continuous Surrogate Marker in Clinical Trials 

Speaker 2: Xiaowu Sun, Carefusion, Marlborough, MA, USA, xiaowu.sun@carefusion.com,
                  Assessing Risk of Familial History of Chronic Diseases: Latent Variable Modeling
                  Approach

Speaker 3: Yuantao Hao, Sun Yat-Sen University, China, haoyt@mail.sysu.edu.cn,
                  Non-linear Factor Analysis Model and its Application to Evaluating the Equivalence of
                  Questionnaires

Speaker 4: Chuanhua Yu, Wuhan University, China, yuchua@163.com,
                  Evaluation Methods of Medical Reform in China

Speaker 5: Guimin Gao, Virginia Commonwealth University, US, ggao3@vcu.edu,
                  A Smoothed Sequential Bonferroni Procedure for Genome-wide Association Studies
                  incorporating information of Hardy-Weinberg disequilibrium

 

Session 5:

Session Organizer: Qihua Wang, Chinese Academy of Science, China, qhwang@amss.ac.cn
Session Title: Recent Trends in Missing Data Regression Analysis
Session Chair: Qihua Wang

Speaker 1: Yi-Hau Chen, Institute of Statistical Science, Academy Sinica, Taipei,
                  Taiwan, yhchen@webmail.stat.sinica.edu.tw
                  Missing covariates with high dimensional surrogates

Speaker 2: Nian-Sheng Tang, Yunnan University, China, nstang@ynu.edu.cn,
                  Diagnostic Measures for Empirical Likelihood of Estimating
                  Equations with Missing Data

Speaker 3: Xiaobo Ding, Academy of Mathematics and Systems Science, Chinese Academy
                  of Science, China, waveletding@amss.ac.cn,
                  Mean Response Estimation in Non-response Data through Sufficient Dimension
                  Reduction

Speaker 4: Liugen Xue, Beijing University of Technology, China, lgxue@bjut.edu.cn,
                  Empirical likelihood for semiparametric regression model with missing response data

 

Session 6:

Session Organizer: Ying Lu, US VA Cooperative Study Program and Stanford University, USA,
                              ylu1@stanford.edu
Session Title: Statistical Methods in Medical Decision Making
Session Chair: Jiqian Fan, Sen-Yet Sen University, China, fangjq@mail.sysu.edu.cn

Speaker 1: Jack J. Lee, MD Anderson Cancer Institute, USA, jjlee@mdanderson.org,
                  Bayesian Adaptive Designs for Biomarker Guided Trials for Personalized Medicine

Speaker 2: Hua Jin, South China Normal University, China, jinhua1871@163.com,
                  Cost-saving Tree for Survival Endpoints

Speaker 3: Caixia Li, Sen-Yet Sen University, China, sysu_licx@hotmail.com,
                  Assessment of the Incremental Accuracy of Longitudinal Biomarkers in Predicting 
                  Survival Endpoint

Discussant: Ying Lu, US Veterans Affairs Cooperative Study Program and Stanford University,
                   USA, ylu1@stanford.edu

Session 7:

Session Organizer: Hang Li, MSRA (Microsoft Research Asia),USA hangli@microsoft.com
Session Title: Internet and Web Search
Session Chair: Hang Li, MSRA (Microsoft Research Asia), USA  hangli@microsoft.com  

Speaker 1: Qiang Yang, Hong Kong University of Science and Technology, Hong Kong
                  qyang@cse.ust.hk
                  Transfer Learning for Link Prediction

Speaker 2: Tie-Yan Liu, Microsoft Research Asia, tyliu@microsoft.com
                  Statistical Learning Theory for Ranking

Speaker 3: Min Zhang, Tsinghua University, z-m@tsinghua.edu.cn,
                 User Behavior Analysis for Web Search: With and beyond the Wisdom of
                 Crowds

Session 8:

Session Organizer: Rong Chen, Rutgers University, rongchen@stat.rutgers.edu
Session Title: New developments in Time Series
Session Chair: Hansheng Wang, Guanghua School of Management, Peking University, China,
                       hansheng@gsm.pku.edu.cn 

Speaker 1: Clifford Lam, London School of Economics, UK, c.lam2@lse.ac.uk,
                 Estimation of Large Latent Factor Models for Time Series Data

Speaker 2: Wai Keung Li, University of Hong Kong, Hong Kong, hrntlwk@hku.hk
                  Some Results on Time Series Models with Long Memory in the Variance 

Speaker 3: Song Xi Chen, Peking University and Iowa State University, songchen@iastate.edu
                  Tests for High Dimensional Covariance Matrices

 

Session 9:

Session Organizer: Tong Zhang, Rutgers University, USA, tongz@rci.rutgers.edu
Session Title: High Dimensional Learning and Estimation
Session Chair: Tong Zhang

Speaker 1: Chih-jen Lin, National Taiwan University, Chih-Jen Lin cjlin@csie.ntu.edu.tw
                  Optimization methods for large-scale L1-regularized linear classification

Speaker 2: Ding-Xuan Zhou, Department of Matehmatics, City University of Hong Kong,
                  mazhou@cityu.edu.hk
                  Some Analysis of Learning with Reproducing Kernel Spaces

Speaker 3: Ping Li, Cornell University, USA, pingli@cornell.edu
                  Adaptive Base Class Boost (ABC-Boost) for Multi-Class Classification 

Speaker 4: Tong Zhang, Rutgers University, USA, tongz@rci.rutgers.edu
                  Some Algorithms for Sparse Learning

Session 10:

Session Organizer: Hongkai Ji, Johns Hopkins University, USA, hji@jhsph.edu
Session Title: Statistical methods for next-generation sequencing data analysis
Session Chair: Hui Jiang, Stanford University, USA, jiangh@stanford.edu 

Speaker 1: Hector Corrada Bravo, Johns Hopkins University, USA, hcorrada@gmail.com
                  Statistical and computational methods for the analysis of pooled, targeted,
                  second-generation resequencing data

Speaker 2: Xuekui Zhang, U of British Columbia, ubcxzhang@gmail.com
                 PICS, A Method for Profiling Genome-wide Transcription
                 Factor-DNA Association and Nucleosome Positions 

Speaker 3: Hui Jiang, Stanford University, USA, jiangh@stanford.edu
                  Estimating Isoform-Specific Gene Expression Using Paired-End RNA-Seq

Speaker 4: Xuegong Zhang, Tsinghua Univesrity, China, zhangxg@tsinghua.edu.cn
                  Observations on the differential expression of genes from RNA-seq data

 

Session 11:

Session Organizer: Wei Pan, University of Minnesaota, USA, weip@biostat.umn.edu
Session Title: Network-based Statistical Analysis and Bioinformatics
Session Chair: Hongzhe Li, University of Pennsylvania, USA, hli@cceb.upenn.edu 

Speaker 1: Jasmine Zhou, USC, USA, xjzhou@usc.edu,
                 Algorithms and Applications for Integrative Network Analysis

Speaker 2: Peng Wei, University of Texas, USA, Peng.Wei@uth.tmc.edu
                 Bayesian Joint Modeling of Multiple Gene Networks and Diverse Genomic Data
                 to Identify Target Genes of a Transcription Factor

Speaker 3: Wei Pan, University of Minnesaota, USA, weip@biostat.umn.edu
                 Penalized Regression with Gene Networks

 

Session 12:

Session Organizer: Haiyan Huang, UC Berkeley, USA, hhuang@stat.berkeley.edu
Session Title: Integrative Analysis of Various Types of Genomic Data
Session Chair: Lynn Kuo, University of Connecticut, USA, lynn@stat.uconn.edu

Speaker 1: Zhijin Wu, Brown University, USA, zwu@stat.brown.edu,
                  Empirical Bayes Analysis of Sequencing-based Transcriptional Profiling without
                  Replicates

Speaker 2: Minping Qian, Peking University, qianmp@math.pku.edu.cn
                  The interaction pathway annotation by integrating various genomic data

Speaker 3: Jun Liu, Harvard University, USA, jliu@stat.harvard.edu
                 Using Phylogenetic Relationships to Infer Gene Functional Groups

 

Session 13: (This session will be scheduled on 12/22/2010.)

Session Organizer: Mingyao Li, University of Pennsylvania, USA, mingyao@mail.med.upenn.edu
Session Title: Advances in Genome-wide Association Studies: Methods Development and
                       Applications
Session Chair: Hua Tang, Stanford University School of Medicine, USA, huatang@stanford.edu 

Speaker 1: Liming Liang, Harvard University, USA, lliang@hsph.harvard.edu
                  Enhancing the Power of eQTL Mapping: A Catalog of 6,000 cis eQTLs in
                  Lymphocytes 

Speaker 2: Xiaofeng Zhu, Case Western Reserve University, USA, xzhu1@darwin.case.edu
                  Detecting rare Genetic Variants in Complex Traits Using Resequencing Data 

Speaker 3: Rui Xiao, University of Pennsylvania School of Medicine, USA,
                   rxiao@mail.med.upenn.edu
                  Allele-Specific Expression to Detect the /Cis/-acting Regulatory SNPs 

Speaker 4: Yun Li, University of North Carolina at Chapel Hill, USA, yunli@med.unc.edu
                   Efficient Design for Massively Parallel Sequencing based Genome-wide
                   Association Studies        

 

Session 14:

Session Organizer: Lixing Zhu, Hong Kong Baptist University, Hong Kong,lzhu@hkbu.edu.hk
Session Title: Recent Developments in Dimension Reduction
Session Chair: Lixing Zhu, Hong Kong Baptist University, lzhu@hkbu.edu.hk 

Speaker 1: Hannes Leeb, University of Vienna, Austria, hannes.leeb@univie.ac.at
                  Shrinkage Estimation of a Univariate Normal Mean

Speaker 2: Jian Huang, University of Iowa, USA, jian-huang@uiowa.edu
                 The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression 

Speaker 3: Yingcun Xia, National University of Singapore, Singapore, staxyc@nus.edu.sg
                 Freedom Reduced Shrinkage Regression  

Speaker 4: Runze Li, Penn State University, USA, rli@stat.psu.edu
                 New Efficient Estimation and Variable Selection Methods for Semiparametric
                 Varying-coefficient Partially Linear Models 

 

Session 15: (This session will be scheduled on 12/20/2010 or 12/21/2010.)

Session Organizer: Wenguang Sun, North Carolina State University, USA, sun@stat.ncsu.edu
Session Title: Recent Advances in Large-Scale Multiple Testing
Session Chair: Sijian Wang, University of Wisconsin, USA, wangs@stat.wisc.edu

Speaker 1: Harrison Zhou, Yale University, USA, huibin.zhou@yale.edu
                 False Discovery Rate Control with Groups

Speaker 2: Wenguang Sun, North Carolina State University, USA, sun@stat.ncsu.edu,
                  Optimal Screening for Sparse Signals

Speaker 3: Hongyuan Cao, University of Chicago, USA, hcao@health.bsd.uchicago.edu
                 On Multiple Testing and the Monotone Likelihood Ratio Condition

Session 16:

Session Organizers: Tom (Siu-Tong) Au and Winnie Duan, AT&T Lab,
                           Research, USA sau@research.att.com
Session Title: Applied Data Mining
Session Chair: Tom (Siu-Tong) Au, AT&T Lab, Research, USA, sau@research.att.com

Speaker 1: Shu Ngai Yeung and Tom Au, AT&T Lab, Research, USA,
                  shu-ngai.c.yeung@att.com,
                 Automatic Forecasting via Data Mining Large Time Series Database 

Speaker 2: Donghui Zhang, Sanofi Aventis, USA, donghui.zhang@sanofi-aventis.com,
                  Data Mining Techniques for Cell Image Analysis in Drug Discovery

Speaker 3: Jun Li, University of California, Riverside, USA,  jun.li@ucr.edu,
                 DD-Classifier: Nonparametric Classification Procedures Based on DD-plot

Speaker 4: Shaoli Wang, School of Statistics and Management Science,
                  Shanghai University of Finance and Economics, China,               
                  shufe.shaoli@gmail.com,
                  Laplace Error Penalty-based Variable Selection and its Application in GWAS

Session 17:

Session Organizer: Ji Meng Loh, AT&T-Labs, USA, loh@research.att.com
Session Title: Modern Spatial Statistics
Session Chair: Ji Meng Loh, AT&T-Labs, USA, loh@research.att.com

Speaker 1: Ramus Waagepetersen, Aalborg University, UK, rw@math.aau.dk
                 Decomposition of Variance for Spatial Cox Processes 

Speaker 2: Chun Yip Yau, The Chinese University of Hong Kong, Hong Kong
                  cyyau@sta.cuhk.edu.hk
                 On a Generalization of Neyman-Scott Process

Speaker 3: Yanbing Zheng, University of Kentucky, USA, yanbing.zheng@uky.edu
                  Nonparametric Bayesian Inference for the Spectral Density Function of a Random
                  Field

 

Session 18: (This session will be scheduled on Dec. 20, 2010)

Session Organizer: Regina Liu, Rutgers University, USA, rliu@stat.rutgers.edu
Session Title: Statistical Methods for Complex Data
Session Chair: Regina Liu, Rutgers University, USA, rliu@stat.rutgers.edu

Speaker 1: Samuel Kou, Harvard University, USA, kou@stat.harvard.edu
                 Multi-Resolution Bayesian Inference of Stochastic Models from Partially Observed
                 Data

Speaker 2: Ying Hung, Rutgers University, USA, yhung@stat.rutgers.edu
                 Analysis of Computer Experiments with Functional Response

Speaker 3: Juan A. Cuesta-Albertos, Universidad de Cantabria, Spain, cuestaj@unican.es
                 Similarity of Distributions through Trimming and Distance

Speaker 4: Fugee Tsung, Hong Kong University of Science and Technology, Hong
                  Kong, season@ust.hk
                  Statistical Quality Techniques applied to Service Industry

 

Session 19:

Session Organizer: Hua Tang, Stanford University, USA, huatang@stanford.edu
Session Title: Significance tests and model selection in genome-wide association studies
Session Chair: Mingyao Li, University of Pennsylvania, USA, mingyao@mail.med.upenn.edu 

Speaker 1: I-Ping Tu, Academic Sinica in Taiwan, iping@stat.sinica.edu.tw
                 P-value Calculations for Genome-wide Scan Statistics 

Speaker 2: Li Hsu, Fred Hutchinson Cancer Research Center, USA, lih@fhcrc.org
                 Gene Set Analysis of GWAS Data Using a Regularized Approach

Speaker 3: Heping Zhang, Yale University, USA, heping.zhang@yale.edu
                 Covariate Adjusted Association Tests and Power Calculations Based on the 
                 Generalized Kendall’s Tau

 

Session 20:

Session Organizer: Charles Kooperberg, Fred Hutchinson Cancer Research Center, USA,  
                            clk@fhcrc.org
Session Title: Interactions and prediction in Genomewide Association Studies
Session Chair: Li Hsu, Fred Hutchinson Cancer Research Center, lih@fhcrc.org

Speaker 1: Sebastian Zoellner, University of Michigan, USA, szoellne@umich.edu,
                  Models and data for rare risk variants.

Speaker 2: Minghui Wang, University of Science and Technology of China, China,
                 mhwang@ustc.edu.cn,
                  Maximal Conditional Chi-Square Importance in Random Forests

Speaker 3: Charles Kooperberg, Fred Hutchinson Cancer Research Center, USA, clk@fhcrc.org, 
                  Prediction Models in Genome-wide Association Studies

Speaker 4: Bhramar Mukherjee, University of Michigan, USA, bhramar@umich.edu,
                  Interaction Models for Longitudinal Studies with Large Scale Genetic Data

 

Session 21: (This session will be scheduled on 12/22/2010.)

Session Organizer: Pei Wang, Fred Hutchinson Cancer Research Center, USA, pwang@fhcrc.org
Session Title: Proteomics
Session Chair:Tim Randolph, Fred Hutchinson Cancer Research Center, USA, trandolp@fhcrc.org

Speaker 1: Xihong Lin, Harvard University, USA, xlin@hsph.harvard.edu
                  Increased Power for the Analysis of Label-Free LCMS/MS Proteomic Data by 
                 Combining Spectral Counts and Peptide Peak Attributes

Speaker 2: Haixu Tang, Indiana University, USA, hatang@indiana.edu
                  Protein Identification and Quantification in Shotgun Proteomics: A Probabilistic
                 Approach

Speaker 3: Pei Wang, Fred Hutchinson Cancer Research Center, USA, pwang@fhcrc.org
                 A Regularized Hotelling's T2 Test for Pathway Analysis in Proteomics Studies 

 

Session 22:

Session Organizer: Jaroslaw Harezlak, Indiana University School of Medicine, USA,
                               harezlak@iupui.edu
Session Title: Longitudinal/Functional Data Analysis and Clinical Trials
Session Chair: Jaroslaw Harezlak, harezlak@iupui.edu, Indiana University School of Medicine

Speaker 1: Wanzhu Tu, Indiana University School of Medicine, USA, wtu1@iupui.edu, 
                 A Joint Bivariate Regression Spline Model for Longitudinally Measured Data

Speaker 2: Dave Campbell, Simon Fraser University, Canada, dac5@sfu.ca
                 The Role of Functional Data Analysis in Bayesian Model Selection

Speaker 3: Lu Wang, University of Michigan, USA, luwang@umich.edu
                 Inverse Probability Weighted Kernel Estimators for Longitudinal Data with Dropout

Speaker 4: Jaroslaw Harezlak, Indiana University, USA, harezlak@iupui.edu
                 Functional Data Analytic Approaches to Modeling Mass Spectrometry Data

 

Session 23:(This session will be scheduled on 12/22/2010.)

Session Organizer: Keying Ye, University of Texas at San Antonio, USA, Keying.Ye@utsa.edu
Session Title: Bayesian Methods with Applications in Environmental and Ecological Sciences
Session Chair: Chong (Zhuoqiong) He, University of Missouri, USA, hezh@missouri.edu 

Speaker 1: Keying Ye, of Texas at San Antonio, USA, Keying.Ye@utsa.edu,
                 Normalized Power Prior Bayesian Analysis with Presence of
                 Nuisance Parameters with Applications in Ecology

Speaker 2: Dipak Dey, University of Connecticut, USA, dipak.dey@uconn.edu,
                 Non-Gaussian Hierarchical Generalized Linear Geostatistical Model Selection

Speaker 3: Eric Smith, Virginia Tech, USA, epsmith@vt.edu
                 Model Selection and Segmentation over Large Spatial Regions: Modeling Brook Trout
                 Condition in Eastern United States

 

Session 24:

Session Organizer: Paul Lewis, University of Connecticut, USA, paul.lewis@uconn.edu
Session Title: Recent Development in Phylogeny and Genomic Studies
Session Chair: Ming-Hui Chen, University of Connecticut, USA, mhchen@stat.uconn.edu

Speaker 1: Lynn Kuo, University of Connecticut, USA, lynn.stat.uconn.edu,
                 A nonparametric Bayesian method for modeling across-site rate variation

Speaker 2: Paul Lewis, University of Connecticut, USA, paul.lewis@uconn.edu,
                 Marginal Likelihood Estimation Using Steppingstone Sampling and its Application to
                 Partitioned Bayesian Phylogenetic Analyses

Speaker 3: Marc A. Suchard, David Geffen School of Medicine at UCLA, USA, 
                  msuchard@ucla.edu
                  Massively Parallel Statistical Phylogenetics: No Approximations Necessary

 

Session 25:(This session will be scheduled on December 22, 2010.)

Session Organizer: Chong (Zhuoqiong) He, University of Missouri, USA, hezh@missouri.edu
Session Title: Bayesian Spatial Modeling with Applications in Wildlife and Conservation Research
Session Chair: Dongchu Sun, University of Missouri, USA, sund@missouri.edu 

Speaker 1: Zhu Jun, University of Wisconsin-Madison, USA, jzhu@stat.wisc.edu
                 Spatial Multinomial Models and Bayesian Inference for the Analysis of
                 Land-cover and Land-use Data

Speaker 2: Xiaoqian Sun, Clemson University, USA, xsun@clemson.edu
                Bayesian Spatial Models with Repeated Measurements

Speaker 3:Xun Jiang, University of Connecticut, USA, tonyjiangxun@gmail.com
                Modeling Species Co-occurrence Using Spatial Hierarchical Model

 

Session 26:(This session will be scheduled on 12/20/2010.)

Session Organizer: Ming-Hui Chen, University of Connecticut, USA, mhchen@stat.uconn.edu
Session Title: Bayesian Inference and Application
Session Chair: Dipak K. Dey, University of Connecticut, USA, dipak.dey@uconn.edu 

Speaker 1:Dongchu Sun, University of Missouri, USA, sund@missouri.edu,
                 Bayesian Analysis of Variance

Speaker 2: Malay Ghosh, University of Florida, USA, ghoshm@stat.ufl.edu,
                 Bayesian Empirical Likelihood for Small Area Estimation

Speaker 3: Taps Maiti, Michigan State University, USA, maiti@stt.msu.edu,
                Default Bayesian Analysis for Multivariate Generalized CAR Models 

Session 27:

Session Organizer: Yuan Ji, M. D. Anderson Cancer Center, USA,yuanji@mdanderson.org
Session Title: Bayesian Models for Bioinformatics Data
Session Chair: Donatello Telesca, Department of Biostatistics, UCLA,  
                        USA,donatello.telesca@gmail.com

Speaker 1: Veera Baladandayuthapani, The University of Texas M. D. Anderson Cancer Center,
                  USA, Veera@mdanderson.org
                  Bayesian Functional Methods for Copy Number Data

Speaker 2: Yuan Ji, The University of Texas M. D. Anderson Cancer Center, USA,  
                 yuanji@mdanderson.org
                 Bayesian Models for the Integration of mRNA expression and DNA Copy Number
                 Data

Speaker 3: Bo Hu, The Cleveland Clinic Foundation, USA,  hub@ccf.org,
                 Differential Analysis to Identify Genome-wide DNA Methylation Markers Using
                 Enrichment-based Sequencing Data 

 

Session 28:

Session Organizer: Dongchu Sun, University of Missouri, USA, sund@missouri.edu
Session Title: Bayesian Theory and Method
Session Chair: Dongchu Sun, University of Missouri, USA, sund@missouri.edu

Speaker 1: Yuguo Chen, University of Illinois at Urbana-Champaign, USA, yuguo@illinois.edu,
                  Bayesian Quantile Regression

Speaker 2: Chong (Zhuoqiong) He, University of Missouri, USA, hezh@missouri.edu,
                  Bayesian Analysis for the Multinomial Data under Noninformative Priors

Speaker 3: Ming-Hui Chen, University of Connecticut, USA, mhchen@stat.uconn.edu,
                  Recent Development in Bayesian Analysis of Survival Data

 

Session 29: (This session will be scheduled on 12/21/2010.)

Session Organizer: David Draper, University of California at Santa Cruz, USA,
                               draper@soe.ucsc.edu
Session Title: Bayesian Methods with Applications
Session Chair: Marina Vannucci, Rice University, USA, marina@rice.edu 

Speaker 1: David Draper, David Draper, University of California at Santa Cruz, USA,
                  draper@soe.ucsc.edu,
                  Bayesian Model and Utility Specification: Recent Developments 

Speaker 2: Donatello Telesca, University of California at Los Anges, USA,
                  donatello.telesca@gmail.com
                  Modeling Dependent Protein Expression 

Speaker 3: Peter Mueller, MD Anderson Cancer Center, USA, pmueller@mdanderson.org,
                  A Dependent Polya Tree Model: Bayesian Nonparametric Survival Regression

 

Session 30: (This session will be scheduled on either 12/22 or 12/21/2010)

Session Organizer: Fan Li, Duke University, USA, fli@stat.duke.edu
Session Title: Recent Advances in Bayesian Modeling for High-Dimensional Data (IBSA co-
                       sponsored session)
Session Chair: Fan Li, Duke University, USA, fli@stat.duke.edu

Speaker 1: Marina Vannucci, Rice University, USA, marina@rice.edu
                 Bayesian Models for Variable Selection that Incorporate Biological Information

Speaker 2: Tingting Zhang, University of Virginia, USA, tz3b@virginia.edu
                 Nonparametric Hierarchical Bayesian Analysis of Binomial Data Via Bernstein
                 Polynomial Priors

Speaker 3: Stefano Monni, Cornell University, USA, stm2013@med.cornell.edu
                 Correlation and Bayesian Variable Selection

Speaker 4: Fan Li, Duke University, USA, fli@stat.duke.edu
                 Bayesian Regularized Regression via Graph Laplacian 

 

Session 31:

Session Organizer: Mei-Ling Ting Lee, University of Maryland, USA, MLTLEE@UMD.EDU
Session Title: Recent Advances in Lifetime Data Analysis (LIDA Special Invited Session)
Session Chair: Jianguo Sun, University of Missouri, USA, SunJ@missouri.edu.

Speaker 1: Jason P. Fine, University of North Carolina, Chapel Hill, USA, jfine@bios.unc.edu,
                  Analysis of Recurrent Episodes Data: the Length-Frequency Tradeoff 

Speaker 2: Tingting Zhang, University of Virginia, USA, tz3b@virginia.edu
                  Nonparametric Hierarchical Bayesian Analysis of Binomial Data Via Bernstein
                  Polynomial Priors 
.
Speaker 3: X. Joan Hu, Simon Fraser University, British Columbia, Canada, joanh@cs.sfu.ca
                  Advancing Statistical Methodology for Warranty Claims

Speaker 4: Ronghui Xu, University of California, San Diego, USA, rxu@math.ucsd.edu
                 Analysis of Spontaneous Abortion in Observational Studies

 

Session 32: (This session will be scheduled on 12/20/2010.)

Session Organizers: Brent Burger, Cytel, Inc., USA, Brent.Burger@cytel.com,
                                Yoko Tanaka, Eli Lilly, USA, tanaka_yoko_x1@lilly.com,
                                Bruce Binkowitz, Merck, USA, bruce_binkowitz@merck.com,
Session Title: Multi-Regional Clinical Trials: Regulatory Perspectives/Case Studies
Session Chair: Bruce Binkowitz, Merck, USA, bruce_binkowitz@merck.com

Speaker 1: Yuki Ando, PMDA, Japan, ando-yuki@pmda.go.jp
                  Evaluation of Multi-Regional Clinical Trials: Statistical and Other Issues

Speaker 2: Mey Wang, Center for Drug Evaluation, Taiwan, mwang@cde.org.tw
                 A Bayesian Approach to Evaluating Regional Treatment Effect in a Multiregional Trial

Speaker 3: Yi Tsong, Center for Drug Evaluation, U.S. FDA, Yi.Tsong@fda.hhs.gov
                  Evaluation of Regional Treatment Effect in a Multi-Regional Clinical Trial

Speaker 4: Ning Li, Sanofi-Aventis, China, ericylee1@gmail.com
                Practical Considerations Using MRCT Data in Drug Development

 

Session 33: (This session will be scheduled on 12/20/2010.)

Session Organizers: Yoko Tanaka, Eli Lilly, USA, tanaka_yoko_x1@lilly.com,
                                 Bruce Binkowitz, Merck, USA, bruce_binkowitz@merck.com
                                 Brent Burger, Cytel, Inc., USA, brent.burger@cytel.com
Session Title: Multi-Regional Clinical Trials: Statistical/Operational Perspectives/Case Studies
Session Chair: Brent Burger, Cytel, Inc., USA, brent.burger@cytel.com

Speaker 1: Frank Shen, Roche Global Products Development, China, frank.shen@roche.com
                 A Bridge Too Far? Challenges and Opportunities in Linking China into Simultaneous 
                 Global Development (SGD) via Multi-Regional Clinical Trials (MRCTs)

Speaker 2: William Wang, Merck Sharp & Dohme Ltd., China, william_wang@merck.com
                 Decoding the Regional Differences in Multi-Regional Clinical Development

Speaker 3: Jayanti Gupta, Semler Research Centre Pvt Ltd, India,
                  jayantigupta@semlerresearch.com
                 Clinical Trials in India - The Evolving Scenario               

Speaker 4: Peng-Liang Zhao, Sanofi-Aventis, USA, Peng-Liang.Zhao@sanofi-aventis.com,
                Considerations for Multi-Regional Clinical Trial Designs, Analyses and Inference

 

Session 34:

Session Organizer: Yanqing Sun, UNC-Charlotte, yasun@uncc.edu
Session Title: New Developments in Statistical Modeling of Survival Data
Session Chair: TBD

Speaker 1: Ian McKeague, Columbia University, USA, im2131@columbia.edu
                 Power under Local Alternatives for Generalized Estimating Equations

Speaker 2: Qiming Liao, GlaxoSmithKline Pharmaceutical, USA, qiming.m.liao@gsk.com
                 Stopping for Futility on Progression-free Survival in Clinical Trials

Speaker 3: Yichuan Zhao, Georgia State University, USA, matyiz@langate.gsu.edu
                 Empirical Likelihood Intervals for the Difference of Two Quantile Functions with
                 Right Censoring

Speaker 4: Yanqing Sun, The University of North Carolina at Charlotte, USA, yasun@uncc.edu
                 Quantile Regression for Competing Risks Data with Missing Cause of Failure

 

Session 35:

Session Organizers: K.K. Gordon Lan, Johnson & Johnson, USA, GLan@its.jnj.com
                                 Xihong Lin, Harvard School of Public Health, USA, xlin@hsph.harvard.edu
Session Title: ICSA Journal: Statistics in Biosciences Special Invited Session
Session Chair: K.K. Gordon Lan, Johnson & Johnson, USA, GLan@its.jnj.com

Speaker 1: Hongzhe Li, University of Pennsylvania, USA, hli@cceb.upenn.edu,
                  Hierarchical Models for Isoform Differential Expression Analysis from the RNA-seq
                  Data

Speaker 2: Jane-Ling Wang, University of California at Davis, USA, wang@wald.ucdavis.edu, 
                 Semiparametric Regression Analysis for Doubly-censored Clustered Data

Speaker 3: Chinfu Hsiao, NHRI-Taiwan, Chinfu@nhri.org.tw,
                  Design and Evaluation of Multi-regional Trials with Heterogeneous Treatment Effect
                  across Regions

 

Session 36:

Session Organizer: Jeff Wu, Professor, Georgia Institute of Technology, USA,
                               jeffwu@isye.gatech.edu
Session Title: Design and analysis of computer experiments
Session Chair: Xinwei Deng, University of Wisconsin-Madison, USA, xdeng@stat.wisc.edu

Speaker 1: William J. Welch, University of British Columbia, CA, will@stat.ubc.ca
                 Analyzing Computer Experiments: What Matters,What Doesn't

Speaker 2: Chien-Yu Peng, Academia Sinica, Taipei, chienyu@stat.sinica.edu.tw
                 Regularized Kriging

Speaker 3: C. Devon Lin, Queen's University, Canada, cdlin@mast.queensu.ca
                Designs for Data Pooling

 

Session 37:

Session Organizers: Jason G. Su, University of California, Berkeley, USA, jasonsu@berkeley.edu
                                Hwa-Lung Yu, National Taiwan University, Taipei, Taiwan, hlyu@ntu.edu.tw
Session Title: Modeling Spatial/Temporal Variations of Ambient Pollutant Concentrations
Session Chair: Jason G. Su, University of California, Berkeley, USA

Speaker 1: Chu-Chi Chen, National Health Research Institute, Taipei, Taiwan, ccchen@nhri.org.tw
                  A Two-Stage Spatiotemporal Model Incorporating Land Use Regression for
                  Predicting Fine Particulate Matter Concentrations in the Taipei Metropolitan Area

Speaker 2: Hwa-Lung Yu, National Taiwan University, Taipei, Taiwan
                 Retrospective Prediction of Intraurban Spatiotemporal Distribution of PM2.5 in Taipei 

Speaker 3: Jason G. Su, University of California, Berkeley, USA
                 Modeling long-term average traffic related pollutant concentrations at Los Angeles
                 Megalopolis for Children's asthma study

 

Session 38:

Session Organizer: Florentina Bunea, Florida State University, USA, flori@stat.fsu.edu
Session Title: Recent Results in Theoretical Machine Learning
Session Chair: Yuguo Chen, University of Illinois at Urbana-Champaign, USA,
                       yuguo@illinois.edu 

Speaker 1: Ching-Kang Ing, National Taiwan University, Taiwan, cking@stat.sinica.edu.tw
                  On the Optimal Convergence Rate of Orthogonal Greedy
                  Algorithms in  High-Dimensional Sparse Regression Models

Speaker 2: Gerard Biau, Universite Pierre et Marie Curie, Paris, France, gerard.biau@upmc.fr,
                 Analysis of a Random Forests Model 

Speaker 3: Ming Yuan, Georgia Institute of Technology, USA, myuan at isye.gatech.edu
                  Classification Methods with Reject Option Based on Convex Risk Minimization

Speaker 4: Yuhong Yang, University of Minnesota, USA, yyang@stat.umn.edu
                  Distinct Impacts of Model List Complexity on Model
                  Identification and Regression Estimation

Session 39:

Session Organizer: Ji Zhu, University of Michigan, USA, jizhu@umich.edu
Session Title: High Dimensional Data Analysis and Machine Learning
Session Chair: Junhui Wang, University of Illinois at Chicago, USA, Junhui@uic.edu

Speaker 1: Chenlei Leng, National University of Singapore, Singapore, stalc@nus.edu.sg
                  Penalized Empirical Likelihood and Growing Dimensional General Estimating equations

Speaker 2: Annie Qu, University of Illinois at Urbana-Champaign, USA, anniequ@illinois.edu,
                  Variable Selection in High Dimensional Varying Coefficient Models

Speaker 3: Peter Song, University of Michigan, USA, pxsong@umich.edu
                 Composite Likelihood Bayesian Information Criterion for Model
                 Selection in High Dimensional Correlated Data  

Speaker 4: Xing Wang, Renmin University, China, wangxingscy@gmail.com
                Structure Clustering for Time Series Data with Case Studies

 

Session 40: (This session will be scheduled on 12/20/2010.)

Session Organizer: Alex d'Aspremont, Princeton University, USA, aspremon@Princeton.EDU
Session Title: Machine Learning and Optimization
Session Chair: Marco Cuturi, Princeton University, USA, mcuturi@princeton.edu

Speaker 1: Marco Cuturi, Princeton University, USA, mcuturi@princeton.edu,
                 Semidefinite Relaxations of Stationarity Criterions for Stochastic Processes

Speaker 2: Arnaud Doucet, University of British Columbia, Canada, arnaud@cs.ubc.ca,
                 Forward Smoothing using Sequential Monte Carlo

Speaker 3: Ronny Luss, Tel Aviv University, Israel, ronnyluss@gmail.com
                 Isotonic Recursive Partitioning

 

Session 41: (This session will be scheduled on 12/21/2010.)

Session Organizer: Peter Xuekun Song, University of Michigan, USA, pxsong@umich.edu
Session Title: New Developments in Mixed Effects Models
Session Chair: Gary G. L. Tian, University of Hong Kong, Hong Kong, gltian@hku.hk

Speaker 1: Jiming Jiang, University of California at Davis, USA, jiang@wald.ucdavis.edu
                  Fence Method for Nonparametric Mixed Model Selection
 
Speaker 2: Huazhen Lin, Southwestern University of Finance and Economics, China,
                 huazhenlin@hotmail.com
                 Semiparametric Transition Models with Unknown Link and Variance Functions 

Speaker 3: Bin Nan, University of Michigan, USA, bnan@umich.edu
                 Longitudinal Measures with Event Time as a Covariate

Speaker 4: Xin-Yuan Song, Chinese University of Hong Kong, Hong Kong,
                  xysong@sta.cuhk.edu.hk,
                 Semiparametric Transformation Models with Bayesian P-splines

 

Session 42:

Session Organizer: Yoav Benjamini, Tel Aviv University, Israel, ybenja@post.tau.ac.il
Session Title: Recent Developments on False Discovery Rates
Session Chair: Harrison Zhou, Yale University, USA, huibin.zhou@yale.edu

Speaker 1: Helmut Finner, Deutsches Diabetes-Zentrum an der Heinrich-Heine-Universität
                 Düsseldorf Leibniz-Zentrum für Diabetes-Forschung Institut für Biometrie und
                 Epidemiologie, Demark, finner@ddz.uni-duesseldorf.de
                 Simultaneous Control of FDR and Expected Number of False Rejections

Speaker 2: Yanting Li, Shanghai Jiao Tong University, China, ytli@sjtu.edu.cn
                  False Discovery Rate-Adjusted Charting Schemes for Multistage Process Monitoring
                  and Fault Identification

Speaker 3: Yoav Benjamini, Tel Aviv University, Israel, ybenja@post.tau.ac.il
                  Hierarchical Testing of Subsets of Hypotheses

 

Session 43:

Session Organizer: Peter Hall, Editor of Statistica Sinica, University of Melbourne, Austria,  
                               halpstat@ms.unimelb.edu.au
Session Title: Statistica Sinica Special Invited Session
Session Chair: Jane-Ling Wang, University of California at Davis, USA, wang@wald.ucdavis.edu 

Speaker 1: Frederic Ferraty, Toulouse, France, ferraty@cict.fr
                 Bootstrap and Inference in Nonparametric Regression with Functional Data 

Speaker 2: Hans Mueller, University of California at Davis, USA, mueller@wald.ucdavis.edu, 
                 Functional Local Regression 

Speaker 3: Tailen Hsing, University of Michigan, USA, thsing@umich.edu
                 Uniform Convergence Rates for Nonparametric Regression and Principal
                 Component Analysis in Functional/Longitudinal Data 

Speaker 4: Naisyin Wang, University of Michigan, USA, nwangstat@gmail.com,
                 Functional Linear Model with Zero-value Coefficient Function at Sub-regions
 

Session 44:(This session will be scheduled on 12/20 or 12/21, 2010.)

Session Organizer: Peter Z. G. Qian, University of Wisconsin-Madison, USA,
                               peterq@stat.wisc.edu
Session Title: Recent Advances in Design of Experiments
Session Chair: C. Devon Lin, Queen's University, Canada, cdlin@mast.queensu.ca

Speaker 1: Ching-Shui Cheng, University of California, Berkeley, USA, cheng@stat.berkeley.edu
                 Multistratum Fractional Factorial Designs

Speaker 2: Thomas J. Santner, Professor, The Ohio State University, USA, tjs@stat.osu.edu
                 Using Multiple Computer Models and Multiple Data Sources to Infer Calibration
                 Parameters and Improve Prediction

Speaker 3: Xinwei Deng, University of Wisconsin-Madison, USA, xdeng@stat.wisc.edu
                Designs for the Lasso

Session 45:

Session Organizer: Yijun Zuo, Michigan State University, USA,  
                                zuo@msu.edu, yijun.zuo@gmail.com
Session Title: Data Depth and Applications
Session Chair: Xuming He, Department of Statistics, University of Illinois, USA,

Speaker 1: Matio Romanazzi, Ca' Foscari University of Venice, Italy, romanaz@unive.it
                 Local Depth

Speaker 2: Shojaeddin Chenouri, University of Waterloo, Canada, schenouri@math.uwaterloo.ca
                A Spatial Depth based Dimension Reduction Method     

Speaker 3: Sara López-Pintado, Columbia University, USA, sl2929@columbia.edu,
                 Depth-based Analysis of Sparse Functional Data

Speaker 4: Yijun Zuo, Michigan State University, USA, zuo@msu.edu
                 Data Depth Based Inference Procedures

 

Session 46:

Session Organizer: Nan Chen, The Chinese University of Hong Kong, Hong Kong
                              nchen@se.cuhk.edu.hk
Session Title: Financial Engineering: modeling and simulation
Session Chair: Nan Chen, The Chinese University of Hong Kong

Speaker 1: Zhen Liu, Missouri University of Science and Technology, USA, zliu [at] mst.edu,
                Energy Portfolio Investment with Entry Decisions

Speaker 2: Xuedong He, Columbia University, USA, xh2140@columbia.edu,
                 Portfolio Selection with Law-invariant Coherent Risk Measures

Speaker 3: Nan Chen, The Chinese University of Hong Kong, Hong Kong,
                 Monte Carlo Methods on American-style Option Sensitivity Analysis

Speaker 4: Guangwu Liu, City University of Hong Kong, Hong Kong, msgw.liu@cityu.edu.hk,
                  Importance Sampling for Risk Contributions of Credit Portfolios

 

Session 47:

Session Organizer: Jia-An Yan, Chinese Academy of Sciences, China, jayan@amt.ac.cn
Session Title: Mean-variance Portfolio Selection and Mean-variance Hedging
Session Chair: Jia-An Yan, Chinese Academy of Sciences, China, jayan@amt.ac.cn 

Speaker 1: Zhongfei Li, Sun Yat-sen University, China, lnslzf@mail.sysu.edu.cn
                 Continuous-time Mean-variance Model with only Risky Assets 

Speaker 2: Dewen Xiong, Shanghai Jiaotong University, China, xiongdewen@sjtu.edu.cn
                 The Compatible Bond-stock Market with Jumps  

Speaker 3: Jia-An Yan, Chinese Academy of Sciences, China, jayan@amt.ac.cn  
                 A New Look at Markowitz’s Mean-variance Portfolio Selection 

Speaker 4: Yong Zhou, Chinese Academy of Sciences & Shanghai University of Finance and
                  Economics, China, yzhou@amss.ac.cn,
                 Varying-Coefficient Multidimensional Cluster Data Regression Models: An Example of
                 STARS Database of the World Bank 

 

Session 48:

Session Organizer: Ning Cai, Hong Kong University of Science and Technology, Hong Kong,
                               ningcai@ust.hk
Session Title: Financial Engineering and Financial Statistics
Session Chair: Ning Cai, Hong Kong University of Science and Technology, Hong Kong,
                        ningcai@ust.hk

Speaker 1: Bing-Yi Jing, Hong Kong University of Science and Technology, Hong Kong,
                  majing@ust.hk
                 On Integrated Volatility with the Presence of Jumps and Microstructure Noise

Speaker 2: Ying Chen, National University of Singapore, Singapore, stacheny@nus.edu.sg,
                  Modeling Realized Covariance in a Localized Framework

Speaker 3: Phillip Yam, The Hong Kong Polytechnic University, Hong Kong,
                  phillip.yam@gmail.com,
                  Optimal Reinsurance under Law-Invariant Convex Risk Measure

Speaker 4: Lancelot F. James, The Hong Kong University of Science and Technology,
                  lancelot@ust.hk
                 Gamma Leveraged BNS-OU Price Processes 

 

Session 49:

(This session will be scheduled either on 12/20/2010 or 12/21/2010.)

Session Organizer: Wei Shen, Eli Lilly and Company, USA, shen@lilly.com
Session Title: Invited Panel: The Future of Academia-Industry Collaboration
Session Chair: Wei Shen, Eli Lilly and Company, USA, shen@lilly.com

Panel Members:

Xiao-Li Meng, Harvard University, USA, meng@stat.harvard.edu
Ying Lu, Stanford University, USA, ylu1@stanford.edu
Frank Shen, Roche, China, frank.shen@roche.com
Dennis Lin, Penn State University, USA, dkl5@psu.edu
Bin Yu, University of California at Berkeley, USA, binyu@stat.berkeley.edu
Jeremy Wu, Census Bureau, USA, jeremy.s.wu@census.gov
Pengliang Zhao, Sanofi-Aventis, USA, Peng-Liang.Zhao@sanofi-aventis.com

 

Session 50:

Session Organizer: Jun Xie, Purdue University, USA, junxie@stat.purdue.edu
Session Title: Case Studies from Academia-Industry Collaboration
Session Chair: Jun Xie, Purdue University, USA, junxie@stat.purdue.edu

Speaker 1: Wei Shen, Eli Lilly and Company, USA, shen@lilly.com
                 Application of Bayesian Joint Modeling of Time-to-Event
                 and Patient-Reported Outcomes in an Oncology Clinical Trial

Speaker 2: Daowen Zhang, North Carolina State University, USA, dzhang2@stat.ncsu.edu,
                 Analysis of a Binary Composite Endpoint with Missing Data in Components

Speaker 3: Henry Lynn, Fudan University, China, hslynn@shmu.edu.cn
                 Training the Next Generation of Industry-ready Biostatisticians in China

Speaker 4: Yan (Grace) Li, Pfizer Inc. Shanghai, China, Yan.Li9@pfizer.com,
                  Quantitative Challenges Facing the Alzheimer's Disease Clinical Studies

 

Session 51:

Session Organizer: Bin Yu, University of California at Berkley, USA, binyu@stat.berkeley.edu
Session Title: Invited Panel for New Researchers
Session Chair: Bin Yu, University of California at Berkley, USA, binyu@stat.berkeley.edu

Panel Members:

Peter Guttorp, Department of Statistics, University of Washington and Norwegian
Computing

Chao Anges Hsiung, Institute of Population Health Sciences, National Health Research
Institutes, Taiwan

Hans R. Künsch, ETH Zurich, Department of Mathematics, Seminar für Statistik

Xuming He, Department of Statistics, University of Illinois

Jun Liu,  Department of Statistics, Harvard University

Zhi-Ming Ma, Chinese Academy of Sciences, Beijing, China

Shige Peng, School of Mathematics, Qilu Institute of Finance, Shandong University

Qihua Wang, Academy of Mathematics and Systems Science, Chinese Academy of
Sciences

Mike West, Department of Statistical Science, Duke University

Session 52:

Session Organizer: Weng Kee Wong, University of California at Los Angeles, USA,
                               wkwong@ucla.edu
Session Title: Optimum Experimental Deisgns
Session Chair: Chongqi Zhang, Guangzhou University, China, chongqi@gzhu.edu.cn 

Speaker 1: Fang Kai-Tai, BNU-HKBU United International College, China, ktfang@uic.edu,
                 Construction of Uniform Designs with a Large Size 

Speaker 2: Ralf-Dieter Hilgers, Institute of Medical Statistics, RWTH Aachen, Germany,
                  rhilgers@ukaachen.de,
                  Design Efficiency for Component Amount Models Homogeneous of Degree One 

Speaker 3: Mong Na Huang, National Sun Yat-Sen University, Kaoshiung, Taiwan,
                 lomn@math.nsysu.edu.tw,
                 Exact D-optimal Designs for Linear Log Contrast Models 

Speaker 4: Weng Kee Wong, University of California at Los Angeles, USA, 
                  wkwong@ucla.edu,
                  Optimal Design Strategies for Detecting Hormesis

 

Session 53:

Session Organizer: Philip E. Cheng, Institute of Statistical Science, Academia Sinica,
                             Taiwan, pcheng@stat.sinica.edu.tw
Session Title: Model Selection with Correlated Data
Session Chair: Zhigen Zhao, Temple University, USA, zhaozhg@temple.edu

Speaker 1:  Li Zhe, People's University of China, China, lizhewenbei@163.com,
                   The Secret of Current Rising Process of Crude Death Rate in China
                   --Based on the Factor Decomposition Model of Gender Differences

Speaker 2: Jianhui Ning, Huazhong Normal University, China, jhning@mail.ccnu.edu.cn,
                 An Information Approach to Evaluating Log-linear and Logistic Models

Speaker 3: Philip E. Cheng, Institute of Statistical Science, Academia
                  Sinica, Taiwan, pcheng@stat.sinica.edu.tw
                  Another Look at Log-linear Modeling using Data Information

 

Session 54:

Session Organizer: Zhigen Zhao, Temple University, USA, zhaozhg@temple.edu
Session Title: Statistical Method and Theory for High-dimensional Data
Session Chair: Wenguang Sun, North Carolina State University, USA, wenguang_sun@ncsu.edu

Speaker 1: Sijian Wang, University of Wisconsin, Madison, USA, wangs@stat.wisc.edu,
                 Regularized REML for Estimation and Selection of Fixed and Random
                 Effects in Linear Mixed-Effects Models

Speaker 2: Peng Liu, Iowa State University, USA, pliu@iastate.edu,
                  AWeighted Average Likelihood Ratio Test with Application
                  to RNAseq Data

Speaker 3: Xi Luo, University of Pennsylvania, USA, xiluo@wharton.upenn.edu,
                 A Constrained L1 Minimization Approach to Sparse Precision
                 Matrix Estimation

Speaker 4: Zhigen Zhao, Temple University, USA, zhaozhg@temple.edu,
                  Empirical Bayes Confidence Intervals for Selected Parameters
                  for a Large Number of Normal Populations with Unequal but
                  Estimable Means and Variances

 

Session 55:(This session will be scheduled on 12/20 or 12/21, 2010.)

Session Organizer: Hong-Bin Fang, University of Maryland at Baltimore, USA,
                            hfang@som.umaryland.edu
Session Title: Multiplicity, Functional Model, and Missing Data in Clinical Trials
Session Chair: Jianguo Sun, University of Missouri at Columbia, USA,
                      sunj@missouri.edu

Speaker 1: Ming T. Tan, University of Maryland at Baltimore, USA,
                 mttan@som.umaryland.edu
                 Adaptive Designs for Clinical Trials with Multiple Endpoints

Speaker 2: Guo-Liang Tian, University of Hong Kong, Hong Kong, gltian@hkucc.hku.hk
                  Shape-restricted Regressions with Ordered Heteroscedasticity and
                  Their Applications in Bioassay

Speaker 3: Dianliang Deng, University of Regina, Canada, deng@uregina.ca,
                  Goodness of Fit of Multinomial Regression Models to Ordinal Longitudinal Data

Speaker 4: Hong-Bin Fang, University of Maryland at Baltimore, USA,
                  hfang@som.umaryland.edu,
                  Analysis for Temporal Gene Expressions under Multiple Biological Conditions

 

Session 56:

Session Organizers: Bin Cheng, University of Columbia, USA, bc2159@columbia.edu
                            and Xin Zhao, Merck Research Laboratories, USA, xin_zhao@merck.com
Session Title: Design and Analysis of Adaptive Clinical Trials
Session Chair: Bin Cheng, University of Columbia, USA, bc2159@columbia.edu 

Speaker 1: Xin Zhao, Merck Research Laboratories, USA, xin_zhao@merck.com,
                 Bayesian Prediction for Interim Futility Analysis and Sample Size Reestimation 

Speaker 2: Yi-Hsuan Tu, National Cheng Kung University, Taiwan, yhtu@stat.ncku.edu.tw,
                  A Note on Confidence Bounds after Step-down Tests 

Speaker 3: Bin Cheng, University of Columbia, USA, bc2159@columbia.edu,
                 Design of Multi-Stage Transitional Seamless Trial with Different Objectives and
                 Endpoints 

Speaker 4: Qing Liu, J&J Pharmaceutical Research and Development, L.L.C., USA,
                  qliu@its.jnj.com,
                 On Efficient Two-Stage Adaptive Designs for Clinical Trials with Sample Size
                 Adjustment

Session 57:

Session Organizers: Liuquan Sun, Chinese Academy of Sciences, China, slq@amt.ac.cn
Session Title: New Development in Semiparametric Models
Session Chair: Liuquan Sun, Chinese Academy of Sciences, slq@amt.ac.cn 

Speaker 1: Xueqin Wang, Sun Yat-Sen University, China, wangxq88@mail.sysu.edu.cn
                 Statisitical Inference of Parent-twin Quartet Data

Speaker 2: Xingwei Tong, Beijing Normal University, China, xweitong@bnu.edu.cn 
                 Censored Quantile Regression after Transformation

Speaker 3: Zhihua Sun, Chinese Academy of Sciences, China, sunzh@amss.ac.cn
                 Consistent Model Specification Test for a Partial Linear Model with Missing Covariates 
                 at Random 

Speaker 4: Riquan Zhang, East China University, China, zhangriquan@163.com
                 Generalized Varying-coefficient Single-index Model 

Session 58:


Session Organizer: Jie Tang, Pfizer Inc, USA, tangj@pfizer.com
Session Title: Challenges and Opportunities of Properly Designing and Effectively Conducting 
                     Clinical Trials for Successful Regulatory Approval in the Current Environment
Session Chair: Jie Tang, Pfizer Inc, USA, tangj@pfizer.com

Speaker 1: Kuang-Kuo Gordon Lan, Johnson & Johnson PRD,USA, Glan@its.jnj.com,
                  Design and Interim Data Analysis of Clinical Trials

Speaker 2: Jie Tang, Pfizer Inc, Oncology Business Unit, USA, tangj@pfizer.com,
                  Projecting Interim and Final Analysis Time for Oncology Trial

Speaker 3: Zhen (Robert) Luo, Pfizer Inc., USA, Zhen.Luo@pfizer.com,
                  Experience in Interacting with US FDA for Late-phase Trials

Session 59: (This session will be scheduled on either 12/20 or 12/21/2010.)


Session Organizer: Hubert Janpeing Chen, National Cheng-Kung University, Taiwan and
                             University of Georgia, USA, hjpcheney@yahoo.com
Session Title: Recent Statistical Applications
Session Chair: Xiang Rong Yin, University of Georgia, USA, xryin@stat.uga.edu

Speaker 1: Hubert Janpeing Chen, National Cheng-Kung University, Taiwan and
                 University of Georgia, USA, hjpcheney@yahoo.com
                 Prediction of Failure Rate of Taiwanese Companies by Logistic Model

Speaker 2: Xuelin Huang The University of Texas M. D. Anderson Cancer Center, USA,  
                  xlhuang@mdanderson.org,
                  Using Information on Both Short-Term Response and Long-Term Survival
                  in the Design of Oncology Clinical Trials

Speaker 3: Miin-Jye Wen National Cheng Kung University, Taiwan, mjwen@stat.ncku.edu.tw
                 Application of the Analysis of Means with Unequal Variances

Speaker 4: Chen, Shu-Chuan, Arizona State University, USA, Shu-Chuan.Chen@asu.edu
                 Mixture Clustering and its applications in Bioinformatics

Session 60:


Session Organizer: Zhaojun Wang, Nankai University, China, zjwang@nankai.edu.cn
Session Title: Statistical Process Control
Session Chair: Zhaojun Wan, Nankai University, China, zjwang@nankai.edu.cn

Speaker 1: Kwok-Leung Tsui, Georgia Institute of Technology, USA, ktsui@isye.gatech.edu,
                  Recent Research in System Informatics, Prognostics, and Health Management

Speaker 2: Wei Jiang, Hong Kong University of Science and Technology, Hong Kong,
                  jiangwei08@gmail.com,
                 A Spatial Variable Selection Approach for Monitoring Product Surface in
                 Semiconductor Manufacturing

Speaker 3: Kaibo Wang, Tsinghua University, China,kbwang@tsinghua.edu.cn
                 A Variable-Selection-based Multivariate EWMA Chart for Process Monitoring and
                 Diagnosis

Speaker 4: Changliang Zou, Nankai University, China, chlzou@yahoo.com.cn
                A Spatial-Rank Based Multivariate EWMA Control Chart

Session 61:


Session Organizer: Min-Qian Liu, Nankai University, China, mqliu@nankai.edu.cn
Session Title: New Developments in Design of Experiments                                                 
Session Chair: Rong-Xian Yue, Shanghai Normal University, China, yue2@shnu.edu.cn

Speaker 1: Nam-Ky Nguyen, Hanoi National University, Vietnam, namnk@isvnu.vn
                  An Algorithm for Constructing Second-Order Designs 

Speaker 2: Pi-Wen Tsai, National Taiwan Normal University, Taiwan, pwtsai@ntnu.edu.tw
                  Optimal Blocking Schemes for Fractional Factorial Split-plot Designs

Speaker 3: Shengli Zhao, Qufu Normal University, China, zhaoshli758@126.com
                  Blocked Two-level Regular Factorial Designs with Minimum Aberration

Speaker 4: Yongdao Zhou, Sichuan University, China, ydzhou@scu.edu.cn
                 Constructing Uniform Designs by Integer Programming Method

Session 62:


Session Organizer: William Li, University of Minnesota, USA, wli@umn.edu
Session Title: Theory and Applications of Design of Experiments
Session Chair: William Li, University of Minnesota, USA wli@umn.edu

Speaker 1: Dennis Lin, The Pennsylvania State University, USA, dkl5@psu.edu
                 Recent Advances in Computer Experiments

Speaker 2: Runchu Zhang, Nankai University, China, zhrch@nankai.edu.cn,
                 A Theory on Constructing 2n-m Designs with General Minimum Lower Order
                 Confounding

Speaker 3: Jianwei Hu, Huazhong Normal University, China, hujianwei@mail.nankai.edu.cn,
                 Some Results on Two-Level Regular Designs with General Minimum Lower Order
                 Confounding

Speaker 4: William Li, University of Minnesota, USA wli@umn.edu,
                 A Class of Optimal Discrete Choice Designs for Quality Improvement

Session 63:
Organizer: Guohua Zou, Academy of Mathematics and Systems Science, Chinese Academy of
                  Sciences, China, ghzou@amss.ac.cn
Session Title: Model Selection and Model Averaging
Session Chair: Hansheng Wang, Peking University, China, hansheng@gsm.pku.edu.cn

Speaker 1: Hansheng Wang, Peking University, China, hansheng@gsm.pku.edu.cn
                 Testing the Diagonality of a Large Covariance Matrix in a Regression Setting

Speaker 2: Shurong Zheng, Northeast Normal University, China, zhengsr1993@gmail.com
                 Variable Selection Based on Projection for Generalized Linear Models with
                 Correlated Predictors

Speaker 3: Xinyu Zhang, Academy of Mathematics and Systems Science, Chinese Academy of
                  Sciences, China, xinyu@amss.ac.cn,
                  Model Averaging by Cross Validation

Speaker 4: Zhongzhan Zhang, Beijing University of Technology, China, zzhang@bjut.edu.cn
                 Variable Selection in Double Generalized Linear Models and Its Application