International Conference on Statistics and Society

SCHEDULE

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10 July

9:30-10:10 Plenary Talk 1

Speaker: Peter Bickel, University of California, Berkeley
Chair: Jianqing Fan, Princeton University
Title: Some examples of statistical inference in genomics

10:10-10:50 Plenary Talk 2

Speaker: Lawrence D. Brown, University of Pennsylvania
Chair: Harrison H. Zhou, Yale University
Title: Valid Statistical Inference after Model Selection.

10:50-11:10 Tea Break

11:10-11:50 Plenary Talk 3

Speaker: Stephen E. Fienberg, Carnegie Mellon University
Chair: Linda H. Zhao, University of Pennsylvania
Title: Longitudinal Mixed-Membership Models for Survey Data on Disability

11:50-12:30 Plenary Talk 4

Speaker: Peter G. Hall, University of Melbourne
Chair: T. Tony Cai, University of Pennsylvania
Title: Clustering High-Dimensional Data Using Evidence of Multimodality

12:30-14:30 Lunch Break

14:00-15:30 Topic: Ultrahigh Dimensional Modeling and Computation

Organizer: Organization Committee
Chair: Xihong Lin, Harvard University
1. Jianqing Fan, Princeton University Reﬁtted Cross-validation in Ultrahigh Dimensional Regression.
2. Tony Cai, University of Pennsylvania Optimal Estimation of a Large Covariance Matrix.
3. Jun Liu, Harvard University Naive Bayes Variable and Interaction Selection.

14:00-15:30 Topic: Adaptive Designs and Clinical Trials

Chair and Organizer: Feifang Hu, University of Virginia
1. Jun Shao, University of Wisconsin - Madison A Theory For Testing Hypotheses Under Covariate-Adaptive Randomization.
2. Xiao-Hua Andrew Zhou, University of Washington A Procedure for Evaluating Predictive Accuracy of Biomarkers for Selecting Optimal Treatment.
3. Feifang Hu, University of Virginia Response-adaptive Randomized Clinical Trials: Overview and Future.

14:00-15:30 Topic: Biological Network

Chair and Organizer: Bin Yu, University of California at Berkeley
1. Edo Airoldi, Harvard University Network statistics and processes on networks.
2. Hongzhe Li, University of Pennsylvania Network-based Analysis of eQTL Data.
3. Minghua Deng, Beijing University Modular Analysis of the Weighted Genetic Interaction Network.

14:00-15:30 Topic: Financial Statistics I

Organizer: Per Mykland, University of Chicago
Chair: Qiwei Yao, London School of Economics
1. Rong Chen, Rutgers University Yield curve with a threshold driving process.
2. Yingying Fan, University of Southern California Variable Selection in Linear Mixed Effects Models.
3. Xinghua Zheng, Hong Kong University of Science and Technology On the Estimation of Integrated Covariance Matrices of High Dimensional Diffusion Processes.

15:30-15:50 Tea Break

15:50-17:20 Topic: High-dimensional Modeling

Chair and Organizer: Jinchi Lv, University of Southern California
1. Gareth James, University of Southern California Variable selection using Adaptive Non-linear Interaction Structures in High dimensions.
2. Xiaotong Shen, University of Minnesota On L0-regularization in high-dimensional regression.
3. Ji Zhu, University of Michigan Extracting communities from networks.

15:50-17:20 Topic: Social and Biological Networks

Organizer: Joseph Chang, Yale University
Chair: David Pollard, Yale University
1. David Hunter, Penn State University Bayesian inference for contact networks given epidemic data.
2.Eric Xing, Carnegie Mellon University Dynamic Network Analysis: Model, Algorithm, Theory, and Application.
3. Joseph Chang, Yale University Recent Common Ancestors of Mankind.

15:50-17:20 Topic: Semi-parametric and Causal Inference

Chair and Organizer: Tianxi Cai, Harvard University
1. Xiaohong Chen, Yale University On Efficient Estimation and Inference of Functionals of Semiparametric Conditional and Unconditional Moment Models.
2.Tyler VanderWeele, Harvard University Causal inference for gene-gene and gene-environment interactions.
3. Lu Tian, Stanford University A general efficiency augmentation method.

15:50-17:20 Topic: Survival Analysis

Organizer: Michael Korosok, University of North Carolina at Chapel Hill
Chair: Megam Ptjis. Fred Jitcjomspm Camcer Research Center
1. Jason P. Fine, University of North Carolina at Chapel Hill Analysis of Recurrent Episodes Data: the Length-Frequency Tradeoff.
2. Jianguo Sun, University of Missouri The additive hazard model for informatively interval-censored failure time data.
3. Yi Li, Harvard University Principled Sure Independence Screening for Cox Models with Ultra-high-dimensional Covariates.

11 July

8:30-9:10 Plenary Talk 5

Speaker: Zhiming Ma, Chinese Academy of Science
Chair: Xuming He, University of Illinois at Urbana-Champaign
Title: Probability and Statistics Problems Arising from Internet IR

9:10-9:50 Plenary Talks 6

Speaker: Lawrence Shepp, Rutgers University
Chair: Bin Yu, University of California at Berkeley
Title: How NOT to do Statistics

9:50-10:10 Tea Break

10:10-10:50 Plenary Talk 7

Speaker: David O. Siegmund, Stanford University
Chair: Xihong Lin, Harvard University
Title: Detecting Simultaneous Change-points in Aligned Sequences

10:10-10:50 Plenary Talk 8

Speaker: Michael S. Waterman, University of Southern California
Chair: Jun Liu, Harvard University
Title: Eulerian Graphs and Reading DNA Sequences

11:30-12:10 Plenary Talk 9

Speaker: Wing Hung Wong, Stanford University
Chair: Xiaotong Shen, University of Minnesota
Title: Optional Polya Tree and Bayesian Inference

12:10-13:30 Lunch Break

13:30-15:00 Topic: Financial Statistics II

Chair and Organizer: Yingying Fan, University of Southern California
1. Yingying Li, Hong Kong University of Science and Technology Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection.
2.Qiwei Yao, London School of Economics Modelling High-dimensional Volatilities.
3. Pengsheng Ji Phase Diagram for Variable Selection and Non-optimal Regions for L1 and L0 Penalization Methods.

13:30-15:00 Topic: Asymptotic Theory

Organizer: Mark Low, University of Pennsylvania
Chair: Zheyang Wu, Worcester Polytechnic Institute
1. Ian McKeague, Columbia University Power under local alternatives for generalized estimating equations.
2. David Pollard, Yale University Maximum likelihood in an infinite-dimensional exponential family.
3. Mark Low, University of Pennsylvania Estimation of a Nonsmooth Functional.

13:30-15:00 Topic: Statistics in Medical and Healthcare Studies

Chair and Organizer:Ming Yuan, Georgia Institute of Technology
1. Haiyan Huang, University of California, Berkeley A Bayesian Approach to Transforming Public Gene Expression Repositories into Disease Diagnosis Databases.
2. Hongyu Zhao, Yale University Weighted random subspace method for high dimensional data classification.
3. Joseph Wu, University of Hong Kong A serial cross-sectional serologic survey of 2009 pandemic (H1N1) in Hong Kong: Implications for future pandemic influenza surveillance.

15:00-15:20 Tea Break

15:20-16:50 Topic: Optimalities in High Dimensional Estimation

Organizer: Harrison Zhou, Yale University
Chair: Tony Cai, University of Pennsylvania
1. Zheyang Wu, Worcester Polytechnic Institute Penalized Model Selection and Asymptotic Minimaxity.
2. Ming Yuan, Georgia Institute of Technology Sparse Regularization for High Dimensional Additive Models.
3. Harrison Zhou, Yale University Some recent work inspired by Le Cam's Theory.

15:20-16:50 Topic: Ubiquitous Gaussian Models

Chair and Organizer: Linda Zhao, University of Pennsylvania
1. Samuel Kou, Harvard University Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models.
2. Feng Liang, University of Illinois at Urbana-Champaign Classify Data Clouds: Hierarchical Gaussianization for Image Classification.
3. Tao Shi, Ohio State University Statistical Modeling of AIRS Level 3 Quantization Data.

15:20-16:50 Topic: Recent Developments on Machine Learning

Chair and Organizer: Xiaotong Shen, University of Minnesota
1. Rui Song Nonparametric Independence Screening in Sparse Ultra-High Dimensional Feature Space.
2. Jinchi Lv, University of Southern California Non-Concave Penalized Likelihood with NP-Dimensionality.
3. Bin Yu, University of California at Berkeley Spectral clustering and the high-dimensional Stochastic Block Model.

15:20-16:50 Topic: Statistical Genomics

Chair and Organizer: Hongyu Zhao, Yale University
1. Zehua Chen, National University of Singapore A two-stage penalized logistic regression approach to case-control genome-wide association studies.
2. Jianhua Guo, Northeast Normal University Genome-Wide Association Studies Using Haplotype Clustering with A New Haplotype Similarity.
3. Yu Zhang, Penn State University Fast and Accurate False Positive Control in Genome-wide Association Studies.

16:50-17:10 Tea Break

17:10-18:40 Topic: Statistical Methodology

Chair and Organizer: Xuming He, University of Illinois at Urbana-Champaign
1. Yuguo Chen, University of Illinois at Urbana-Champaign The Multiset Sampler.
2. Roger Koenker, University of Illinois at Urbana-Champaign Additive Models for Quantile Regression.
3. Alan Welsh, Australian National University Extra Zeros in Count Data.

17:10-18:40 Topic: Longitudinal Data Modeling

Chair and Organizer: Peter Song, University of Michigan
1. Xihong Lin, Harvard University Statistical Methods for Association Analysis of Genome-wide Sequencing Studies for Rare Variants.
2. Annie Qu, University of Illinois at Urbana-Champaign Model Selection of Correlation Structure for Clustered Data.
3. Peter Song, University of Michigan Selection of Fixed and Random Effects through doubly penalized REML.

17:10-18:40 Topic: Methods in Error Prone Measurements

Organizer: Linda Zhao, University of Pennsylvania
Chair: Haipeng Shen, University of North Carolina at Chapel Hill
1. Alicia Carriquiry, Iowa State University Density estimation for a non-Gaussian random variable observed with measurement error - Applications to dietary assessment.
2. Jiayang Sun, Case Western Reserve University NEW APPROACH TO ESTIMATION FOR DATA WITH GENERAL MEASUREMENT ERROR.
3. Linda Zhao, University of Pennsylvania Learning from crowds.

12 July

8:30-10:00 Topic: High Dimensional Data Analysis

Organizer: Lie Wang, Massachusetts Institute of Technology
Chair: Rui Song, Colorado State University
1. Peter Radchenko, University of Southern California Variable selection using Adaptive Non-linear Interaction Structures in High dimensions.
2. Eric Kolaczyk, Boston University A Compressed PCA Subspace Method for Anomaly Detection in High-dimensional Data.
3. Jie Peng, University of California, Davis High-dimensional network inference with applications in genomics.

8:30-10:00 Topic: Analysis of Neuroimaging Data

Organizer: Chunming Zhang, University of Wisconsin-Madison
Chair: Nan Lin, Washington University in St. Louis
1. Martin Lindquist, Columbia University Functional Data Analysis, Causal Inference and Brain Connectivity.
2. Young Truong, University of North Carolina at Chapel Hill Independent Component Analysis Involving Autocorrelated Sources with an Application to Functional Magnetic Resonance Imaging
3. Y. Michelle Wang, University of Illinois at Urbana-Champaign Statistical Analysis for Structural and Functional Brain Images.

8:30-10:00 Topic: Causal Inference in Observational Studies

Organizer: Bo Lu, Ohio State University
Chair: Yuguo Chen, University of Illinois at Urbana-Champaign
1. Kosuke Imai, Princeton University A Bayesian Measurement Model of Political Support for Endorsement Experiments, with Application to the Militant Groups in Pakistan.
2. Bo Lu, Ohio State University Causal Inference in Repeated Cross-Sectional Observational Studies.
3. Dylan Small, University of Pennsylvania Causal Inference for Continuous Time Processes When Covariates Are Observed Only at Discrete Times.

8:30-10:00 Topic: Resampling Methods in Statistical Learning

Organizer: Peter Buehlmann, ETH Zürich
Chair: Xi Luo, University of Pennsylvania
1. Francis Bach, Ecole Normale Superieure High-Dimensional Non-Linear Variable Selection.
2. Xuming He, University of Illinois at Urbana-Champaign Wild bootstrap for M estimators of linear regression.
3. Yichao Wu, North Carolina State University An ordinary differential equation based solution path algorithm.

10:00-10:20 Tea Break

10:20-11:50 Topic: Random Matrix Theory and Graphical Models

Chair and Organizer: Noureddine El Karoui, University of California at Berkeley
1. Helene Massam, York University in Canada Conjugate priors for covariance matrices.
2.Jian-feng Yao, University of Rennes in France On Corrections of Classical Multivariate Tests for High-Dimensional Data.
3. Noureddine El Karoui, University of California at Berkeley High-dimensionality effects in the Markowitz problem and quadratic programs with linear constraints.

10:20-11:50 Topic: Sparse Inference

Organizer: Jiashun Jin, Carnegie Mellon University
Chair: Pengsheng Ji, Cornell University
1. Ery Arias-Castro, University of California, San Diego Improving on ANOVA Under Strong Sparsity.
2. Bin Nan, University of Michigan, Anna Arbor Grouped variable selection in the Cox model.
3. Aarti Singh, Carnegie Mellon University Detecting weak, hierarchically-structured sparse network activations.

10:20-11:50 Topic: Recent Development of Bayesian Methods for Social Science

Organizer: Dongchu Sun, University of Missouri
Chair: Feng Liang, University of Illinois at Urbana-Champaign
1. Jong-Min Kim, University of Minnesota-Morris Bayesian Analysis of Randomized Response Sum Score Variables.
2. Dongchu Sun, University of Missouri Bayesian Hierarchical Models for Recognition-Memory and Other Psychological Experiments.
3. Jan Hannig, University of North Carolina-Chapel Hill Comparison between fiducial and objective Bayesian inference.

10:20-11:50 Topic: Regularization Methods for Functional and High Dimensional Data

Organizer: Harrison Zhou, Yale University
Chair: Austin Lee, Boston University
1. Tianxi Cai, Harvard University A Perturbation Method for Inference on Regularized Regression Estimates.
2. Haipeng Shen, University of North Carolina at Chapel Hill The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions
3. Fang Yao, University of Toronto

SCHEDULE

10 July

11 July

12 July

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