Zhiliang Ying, Columbia University
Statistical Inference for Diagnostic Classification Models [abs]

Zhi-Ming Ma, Chinese Academy of Sciences
Some Progress in DNA Sequence Analysis [abs]

Jeff Wu, Georgia Institute of Technology
A Statistical View of Uncertainty Quantification: A Promising Opportunity at the Interface Between Statistics and Applied Mathematics [abs]

Pradeep Ravikumar, University of Texas, Austin
Poisson Graphical Models [abs]

Tao Shi, The Ohio State University
Scalable Spectral Algorithms for Community Detection in Directed Networks [abs]

Wei Pan, University of Minnesota
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty [abs]

Jianhua Guo, Northeast Normal University
Accounting for Model Uncertainty in Text Classification Improves Predictive Performance [abs]

Liuquan Sun, Chinese Academy of Sciences
A Flexible Semiparametric Transformation Model for Recurrent Event Data [abs]

Huazhen Lin, Southwestern University of Finance and Economics
Selection of Latent Variables for Multiple Mixed-outcome Models [abs]

Shane Jensen, University of Pennsylvania
Adapting Bayesian Additive Regression Trees for Variable Selection [abs]

Christopher Hans, The Ohio State University
From a Conditional Lindley's Paradox to Poly-hyper-g Priors [abs]

Matt Taddy, University of Chicago
Inverse Regression Analysis of Really Big Tables [abs]

Haoda Fu, Eli Lilly and Company
Joint Modeling of Progression-free Survival and Overall Survival by a Bayesian NICE Model [abs]

Guosheng Yin, University of Hong Kong
Bayesian Two-stage Single-to-Double Arm Design in Phase II Clinical Trials [abs]

Heinz Schmidli, Novartis Pharma AG
Robust Meta-analytic-predictive Priors in Clinical Trials with Historical Control Information [abs]

Satoshi Morita, Kyoto University
Incorporating Historical Data in Bayesian Phase I Trial Design: The Caucasian-to-Asian Toxicity Tolerability Problem [abs]

Bo Hu, Cleveland Clinic
Adaptive Dose Insertion for Early Phase Clinical Trials [abs]

Toshifumi Sugitani, Osaka University Graduete School of Medicine
A Graphical Approach to Adaptive Group-sequential Designs with Dose Selection at Interim [abs]

Guojun Yuan, Cubist Pharmaceuticals, Inc
First Dose Ranging Clinical Trial Design – More Doses? Or a Wider Range? [abs]

Frank Bretz, Novartis
Case Studies of Confirmatory Subgroup Analyses [abs]

Irving Hwang, Irving Consulting Group
Overview of a Data Monitoring Committee (DMC) [abs]

Meng Chen, Roche
Data Monitoring Committee -- Running DMCs in China, Opportunities and Challenges [abs]

Qi Jiang, Amgen
Remaining Issues with Data Monitoring Committees [abs]

Cheng Li, Peking University
Data Modelling in Personalized Cancer Medicine [abs]

Amir A. Handzel, OSI Pharmaceuticals
Rational Design of Personalised Drug Development Programmes [abs]

Li Chen, Amgen
Role of Biomarkers in Personalized Medicine [abs]

Gang Chen, Johnson & Johnson
Adaptive Strategies in the Design of Simultaneous Global Drug Development [abs]

Xian Zhou, Roche Asia-Pacific
Enrollment and Randomization Considerations on Improving the Feasibility of a Global Trial Strategy for China Registration [abs]

Gang Li, Animas Corporation / LifeScan, Inc. / Johnson & Johnson
Consistency Assessment with Global and Bridging Development Strategies in Emerging Markets [abs]

Shanshan Wu, Peking University Health Science Center
The Cardiovascular Effects of Glucagon-like Peptide-1 Receptor Agonists: A Trial Sequential Analysis of Randomized Controlled Trials [abs]

Ying Lu, Stanford University
Subgroup Analysis in the US Department of Veterans Affairs (VA) Clinical Trials [abs]

Xueren Wang, Yunnan University
Risk Factors for Hepatitis C Virus Infection Among Heroin Users in Kunming of China [abs]

Jiang Du, Beijing University of Technology
FIC and Robust Model Average [abs]

Ronghui Xu, University of California, San Diego
Explained Variation in Correlated Survival Data [abs]

Zhisheng Ye, The Hong Kong Polytechnic University
The Inverse Gaussian Process as a Degradation Model [abs]

Min Xie, City University of Hong Kong
On Some Extended Weibull Models for Reliability Data Analysis [abs]

Chen-Hsin Chen, Academia Sinica
Determining the Information Fraction in a Group Sequential Clinical Trial with Censored Survival Data [abs]

Xiaotong Shen, University of Minnesota
On Personalized Information Filtering [abs]

Ji Zhu, University of Michigan
On Consistency of Community Detection in Networks [abs]

Junhui Wang, City University of Hong Kong
Margin-based Learning of Minimum Clinically Important Difference [abs]

Yang Feng, Columbia University
Model Selection in High-dimensional Misspecified Models [abs]

Naisyin Wang, University of Michigan
Unobserved or Over/Under Detection Limits [abs]

Yingying Fan, University of Southern California
Functional Additive Models [abs]

Lijian Yang, Soochow University
Statistical Inference for Functional Data via Simultaneous Confidence Regions [abs]

Qihua Wang, Chinese Academy of Sciences
Model Detection for Functional Polynomial Regression [abs]

Weidong Liu, Shanghai Jiao Tong University
Phase Transition and Bootstrap Correction in Large Scale t-tests with False Discovery Rate Control [abs]

Zengjing Chen, Shandong University
Limit Theorems for Non-additive Probabilities [abs]

Zhonggen Su, Zhejiang University
On Fluctuations of Deformed Wigner Random Matrices [abs]

Bernard Bercu, Bordeaux University
Sharp Large Deviations for Non Stationary Ornstein-Uhlenbeck Processes [abs]

Xiao Fang, Stanford University and National University of Singapore
Rates of Convergence for Poisson Approximation for Scan Statistics [abs]

Wenxin Zhou, University of Melbourne
Asymptotics of Coherence of Random Matrices in Ultra-high Dimensions [abs]

Aihua Xia, University of Melbourne
On Asymptotics of Locally Dependent Point Processes [abs]

Jianfeng Yao, The University of Hong Kong
A Note on the CLT for Eigenvalue Statistics of a Large-dimensional Spiked Sample Covariance Matrix [abs]

Somnath Datta, University of Louisville
A Multi-loss Super Regression Learner via Resampling and Rank Aggregation [abs]

Susmita Datta, University of Louisville
Nonparametric Regression and Partial Least Squares Dimension Reduction in Multistate Models [abs]

Yuexiao Dong, Temple University
Trace Pursuit: A General Framework for Model-free Variable Selection [abs]

Kofi P. Adragni, University of Maryland, Baltimore County
Variable Selection in High Dimensional Low Sample Size Regressions [abs]

Wai Keung Li, The University of Hong Kong
On Buffered GARCH Models [abs]

Hansheng Wang, Peking University
Network Regression for Covariance Estimation [abs]

Yong Zhou, Chinese Academy of Sciences and Shanghai University of Finance and Economics
Tests and Estimation in Weighted Composite Quantile Regression of DTARCH Models [abs]

Yingying Li, Hong Kong University of Science and Technology
Estimation of Integrated Volatility When there is Dependency in Microstructure Noise [abs]

Ming-Yen Cheng, National Taiwan University
Statistical Modeling and Inference for Manifold Data [abs]

Li-Shan Huang, National Tsing Hua University
Classical and Smooth Backfitting [abs]

Zhengjun Zhang, University of Wisconsin at Madison
Multivariate Frechet Tilted Max-stable Processes for High Frequency Data [abs]

Shuangge Ma, Yale University
Network Based Integrative Analysis [abs]

Xiangrong Yin, University of Georgia
Solution Paths for Large p Small n Problems [abs]

Chunming Zhang, University of Wisconsin at Madison
High-dimensional Structured Feature Screening [abs]

Yuhong Yang, University of Minnesota
Confidence Sets for Variable Selection [abs]

George Tseng, University of Pittsburgh
Statistical Methods for Disease Subtype Discovery by Multi-study and Mutli-omics Data Integration [abs]

Minghua Deng, Peking University
Detecting Epistasis from eQTL Data [abs]

Herbert Pang, Duke University
Pathway Analysis and Improved Discriminant Analysis of Microarray Data [abs]

Weichuan Yu, The Hong Kong University of Science and Technology
A Combinatorial Perspective of the Protein Inference Problem [abs]

Xihong Lin, Harvard University
Joint Analysis of SNP and Gene Expression Data in Genetic Association Studies of Complex Diseases Using Mediation Models [abs]

Xuegong Zhang, Tsinghua University
An Exon-centric Approach for Detecting Differentially Spliced Genes from RNA-Seq Data [abs]

Steve Qin, Emory University
An Alternative to the Bayesian Hierarchical Model and its Application to Microarray Gene Expression Data [abs]

Jinghai Shao, Beijing Normal University
Ergodic Properties of Diffusion Processes in Random Environments [abs]

Xicheng Zhang, Wuhan University
Nonlocal Hormander's Theorem [abs]

Zenghu Li, Beijing Normal University
Parameter Estimation of a Stable Cox-Ingersoll-Ross Model [abs]

Yanxia Ren, Peking University
Central Limit Theorems for Supercritical Branching Markov Processes [abs]

Kai-Nan Xiang, Nankai University
Aldous-Lyons Problem on Unimodular Random Networks [abs]

Jie Xiong, University of Macau and University of Tennessee
Application of Branching Particle System to Nonlinear Filtering [abs]

Xinghua Zheng, Hong Kong University of Science and Technology
Phase Transitions for SIR Epidemic Processes and Related Models [abs]

Rebecca Doerge, Purdue University
Robust Adjustment of Sequence Tag Abundance in Next-generation Sequencing Data [abs]

Qing Zhou, UCLA
A Penalized Bayesian Approach to Predicting Sparse Protein-DNA Binding Landscapes [abs]

Ker-Chau Li, UCLA
Liquid Association with Background Adjustment [abs]

George Michailidis, University of Michigan
Inferring Regulatory Networks by Combining Perturbation Screens and Steady State Gene Expression Profiles [abs]

Richard Samworth, University of Cambridge
Independent Component Analysis via Nonparametric Maximum Likelihood [abs]

Aurore Delaigle, University of Melbourne
Non and Semiparametric Methods for Group Testing Regression [abs]

Heng Peng, Hong Kong Baptist University
Smoothed Rank Correlation Estimates for Semiparametric Transformation Model with NP-dimensionality [abs]

Pengsheng Ji, University of Georgia
Optimality in High Dimensional Variable Selection and Multiple Testing [abs]

Mian Huang, Shanghai University of Finance and Economics
Maximum Smoothed Likelihood Estimation for a Class of Semiparametric Pareto Mixture Densities [abs]

Xianming Tan, McGill University
A Review of Mixture Varying Coefficient Models for Longitudinal Data [abs]

Weixin Yao, Kansas State University
Semiparametric Mixture Models [abs]

Jiahan Li, Notre Dame University
Bayesian Group LASSO for Nonparametric Varying-coefficient Models with Application to Functional Genome-wide Association [abs]

Xin Tong, University of Southern California
A Plug-in Approach to Neyman-Pearson Classification [abs]

Wei Zhong, Xiamen University
Robust Screening and Penalized Quantile Regression for Ultrahigh Dimensional Heteroscedastic Data [abs]

Xiaobo Ding, Chinese Academy of Sciences
On a Partially Linear Single-index Transformation Model and its Nonparametric Estimation [abs]

Anthony Hayter, University of Denver
Recursive Integration Methodologies with Applications to Multiple Comparisons [abs]

Wei Liu, University of Southampton
Simultaneous Confidence Bands for a Percentile Line in Linear Regression with Application to Drug Stability Studies [abs]

Koon Shing Kwong, Singapore Management University
Two Step-up Procedures for Non-inferiority Tests [abs]

Miin-Jye Wen, National Cheng Kung University
Non-inferiority Studies with Multiple New Treatments under Heteroscedasticity [abs]

Li-Xin Zhang, Zhejiang University
Theory of Covariate and Response Adaptive Designs [abs]

Jianxin Yin, Renmin University of China
Covariate-adaptive Randomization with Variable Selection in High Dimensional Data [abs]

Hongjian Zhu, University of Texas Health Science Center at Houston
Interim Analysis of Covariate Adaptive Designs [abs]

Minh Ngoc Tran, University of New South Wales
Variable Selection in High-dimensional Heteroscedastic Linear Regression [abs]

Shan Luo, Shanghai Jiao Tong University
Variable Selection in High-dimensional Sparse Multiresponse Linear Regression Models [abs]

Heng Lian, Nanyang Technological University
Kernel Additive Sliced Inverse Regression [abs]

Shurong Zheng, Northeast Normal University
Testing Proportionality of Two Large-dimensional Covariance Matrices [abs]

Shiqing Ling, The Hong Kong University of Science and Technology
Inference for ARMA Models with Unknown-form and Heavy-tailed ARCH-type Noises [abs]

Chun-Yip Yau, The Chinese University of Hong Kong
Composite Likelihood-based Approach for Multiple Change-point Detection in Multivariate Time Series [abs]

Rongmao Zhang, Zhejiang University
Efficient Estimation for Threshold Autoregressive Models with Multiple-regime [abs]

Tzee-Ming Huang, National Chengchi University
An Approach for Adaptive Estimation in Regression with Dependent Errors [abs]

Tanya Garcia, Texas A & M University
Maximum Binomial Likelihood Estimation in Censored Mixture Models with Application to Estimating Parkinson's Disease Risk in Parkin Mutation Carriers [abs]

Ying Wei, Columbia University
A Method for Controlling Complex Confounding Effects in Detection of Adverse Drug Reaction using Electronic Health Records [abs]

Hung Hung, National Taiwan University
Detection of Gene-gene Interactions Using Multistage Sparse and Low-Rank Regression [abs]

Liping Zhu, Shanghai University of Finance and Economics
Efficient Estimation in Sufficient Dimension Reduction [abs]

Tao Yu, National University of Singapore
Joint Asymptotic Studies on the Semiparametric Quasi-likelihood Models [abs]

Peng Zhang, Zhejiang University
Inference on ROC and Average Precision Based on Methods of Quantile [abs]

Yun Li, University of Michigan
Matching Methods for Obtaining Survival Functions to Estimate the Effect of a Time-dependent Treatment [abs]

Steven Chiou, University of Minnesota Duluth
Rank-based Estimating Equations with General Weight for Accelerated Failure Time Models: An Induced Smoothing Approach [abs]

Bin Nan, University of Michigan
Non-asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via Lasso [abs]

Claudia Czado, Technical University of Munich
Dependence Modeling Using Pair Copula Constructions [abs]

Jianxin Pan, University of Manchester
Covariance Structure Regularization via Entropy Loss Function [abs]

Shujie Ma, University of California at Riverside
Estimation and Inference in Varying Index Coefficient Models [abs]

David van Dyk, Imperial College
The Assessment of Evidence in the Discovery of a Higgs Boson [abs]

Ethan Anderes, University of California at Davis
Decomposing CMB Lensing Power with Simulation [abs]

Jessi Cisewski, Carnegie Mellon University
Mapping the Intergalactic Medium Using Lyman-alpha Forest Data [abs]

Chuanhai Liu, Purdue University
Exact Prior-free Probabilistic Inference: The Inferential Model Approach [abs]

Dongchu Sun, University of Missouri-Columbia
Formal Reference Priors for a General Class of Divergence [abs]

Jan Hannig, University of North Carolina at Chapel Hill
Generalized Fiducial Inference and Confidence Distributions [abs]

Yichao Wu, North Carolina State University
Automatic Structure Recovery for Additive Models [abs]

Xin Chen, National University of Singapore
Efficient Principal Component Regression [abs]

Jingyuan Liu, Xiamen University
Feature Selection for Varying Coefficient Models with Ultrahigh Dimensional Covariates [abs]

Ping Ma, University of Illinois at Urbana-Champaign
Leveraging in Big Data Regression [abs]

Tiejun Tong, Hong Kong Baptist University
Difference-based Variance Estimation in Nonparametric Regression with Repeated Measurements [abs]

Yanyuan Ma, Texas A&M University
Doubly Robust And Efficient Estimators for Heteroscedastic Partially Linear Single-index Models Allowing High Dimensional Covariates [abs]

Yuqi Chen, University of California at Santa Barbara
Joint Modeling of Survival Times and Responses from Exponential Family [abs]

Gang Li, University of California at Los Angeles
Explained Variation in Nonlinear Models with Applications to Survival Analysis [abs]

Jianguo Sun, University of Missouri
Statistical Analysis of Mixed Panel Count Data [abs]

Cheng Yong Tang, University of Colorado Denver
A Joint Modeling Approach for Longitudinal Studies [abs]

Huajun Ye, BNU-HKBU United International College
Nonparametric Regression of Covariance Structures in Longitudinal Studies [abs]

Yu Fei, Yunnan University of Finance and Economics
Case-deletion Diagnostics for Linear Mixed Models [abs]

Peter Song, University of Michigan
Sparse Multivariate Factor Analysis Regression Models and its Applications to Integrative Genomics Analysis [abs]

Clifford Lam, London School of Economics
Nonparametric Eigenvalues-regularized Covariance Matrix Estimator for Time Series [abs]

Keming Yu, Brunel University
Quantile Regression Inference: Practical Challenges and Some Solutions [abs]

Maozai Tian, Renmin University
Adaptive Quantile Regression with Precise Risk Bounds [abs]

Christiana Charalambous, University of Manchester
Variable Selection in Joint Modelling of the Mean and Variance [abs]

Dankmar Boehning, University of Southampton
Smooth Nonparametric Heterogeneity Estimation with an Application to Meta-analysis [abs]

Zehua Chen, National University of Singapore
Edge Detection in Sparse Gaussian Graphical Models [abs]

Kai Wang Ng, The University of Hong Kong
Sample Size Against Spurious Correlations in Predictor Selection [abs]

Liang Peng, Georgia Institute of Technology
Interval Estimation for Random Coefficient AR Model and Predictive Regressions [abs]

Qiwei Yao, London School of Economics
Estimation of Extreme Quantiles for Functions of Dependent Random Variables [abs]

Tony Cai, University of Pennsylvania
Recovery of High-dimensional Low-rank Matrices [abs]

Song-Xi Chen, Iowa State University
Two-Sample Thresholding Tests for High Dimensional Means [abs]

Cun-Hui Zhang, Rutgers University
Analysis of Some Nonparametric Estimators of Large Covariance Matrices [abs]

Harrison Zhou, Yale University
Asymptotic Normality and Optimalities in Estimation of Large Gaussian Graphical Model [abs]

Gerard Biau, Université Pierre et Marie Curie
Cellular Tree Classifiers [abs]

Yair Goldberg, University of Haifa
Support Vector Regression for Right Censored Data [abs]

Eric Xing, Carnegie Melon University
Big Data, Big Model, Big Learning [abs]

Ruoqing Zhu, University of North Carolina at Chapel Hill
Reinforcement Learning Trees [abs]

Yuedong Wang, University of California at Santa Barbara
Stochastic Dynamic Models and Chebyshev Splines [abs]

Robert Krafty, University of Pittsburgh
Penalized Multivariate Whittle Likelihood for Power Spectrum Estimation [abs]

Hernando Ombao, University of California at Irvine
Modeling Complex Oscillatory Cross-dependence in Multivariate Time Series [abs]

Wing Kam Fung, The University of Hong Kong
A Powerful Parent-of-origin Effects Test for Qualitative Traits Incorporating Unaffected Children in Nuclear Families [abs]

Florian Frommlet, Medical University Vienna
Using Memetic Algorithms for Bayesian Analysis of Genome-wide Association Studies [abs]

Seungyeoun Lee, Sejong University
A Robust Multifactor Dimensionality Reduction Method Using Residuals of the Survival Phenotype for Detecting Gene-fene Interactions [abs]

Víctor Hugo Lachos Davila, Universidade de Campinas
Bayesian Inference in Mixed Effects Models for Censored Data with Applications to HIV Studies [abs]

Mário de Castro, Universidade de São Paulo
A Bayesian Gap Time Model with Path Specific Frailties and an Application to Multi-state Bone Marrow Transplant Data [abs]

Ming-Hui Chen, University of Connecticut
Bayesian Models for Survival Data with a Cure Fraction and Semi-competing Risks [abs]

Ding-Xuan Zhou, City University of Hong Kong
Learning with Minimum Error Entropy Criteria [abs]

Yiyuan She, Florida State University
On the Cross-validation for Sparse Reduced Rank Model Selection [abs]

Gilad Lerman, University of Minnesota
Robust Subspace Modeling [abs]

Yuan Yao, Beijing University
On Early Stopping and the Oracle Property of Linearized Bregman Algorithms [abs]

I-Ping Tu, Academia Sinica
Estimate the Occurrence Rate of the DNA Palindromes [abs]

Hua Tang, Stanford University
Genome-wide Characterization of Shared and Distinct Genetic Components that Influence Blood Lipid Levels in Ethnically Diverse Human Populations [abs]

Marc Coram, Stanford University
Non-parametric Empirical Bayes with Covariates and Differential Expression [abs]

Ray-Bing Chen, National Cheng Kung University
Discrete Particle Swarm Optimization for Constructing Uniform Design on Irregular Regions [abs]

Frederick Kin Hing Phoa, Academia Sinica
A Systematic Approach for the Construction of Definitive Screening Designs [abs]

Dennis Lin, Pennsylvania State University
Dimensional Analysis based Factor Space and Its Applications in Computer Experiment [abs]

Yuan-Lung Lin, Academia Sinica
Constructing Hadamard and Near-Hadamard Matrices via Graphs [abs]

Huey-Minn Hsueh, National Chengchi University
Biomarker Selections Using the pAUC [abs]

Yi-Hau Chen, Academia Sinica
Survival Prediction under Dependent Censoring: A Copula-based Approach [abs]

Chia-Hui Huang, National Taipei University
Stochastic Modeling for Epidemic Data [abs]

Kuang-Fu Cheng, Taipei Medical University
A Powerful and Robust Genetic Association Test in Case-control Studies [abs]

Ya-Fang Yang, Academia Sinica
A Joint Frailty Model for Longitudinal and Multiple Survival Data [abs]

Ci-Ren Jiang, Academia Sinica
Nonparametric Response Function Estimation via FPCA with an Application to Dynamic PET Data [abs]

Chung Chang, National Sun Yat-Sen University
Estimating Simultaneous Confidence Bands for Functional Data: A Wild Bootstrap Approach [abs]

Jyh-Jen Horng Shiau, National Chiao Tung University
Distribution-free Profile Monitoring Schemes [abs]

Samuel Kou, Harvard University
Fast Analysis of Dynamic Systems via Gaussian Emulator [abs]

Faming Liang, Texas A&M University
A Bootstrap Metropolis-hastings Algorithm for Bayesian Analysis of Big Data [abs]

Wenyi Wang, The University of Texas MD Anderson Cancer Center
Gene Expression Deconvolution in Heterogeneous Tumor Samples [abs]

Mei-Cheng Wang, Johns Hopkins University
Recurrent Event Processes with Shape and Size Parameters [abs]

Wenqing He, University of Western Ontario
Local Linear Regression on Correlated Survival Data [abs]

Sijian Wang, University of Wisconsin - Madison
Variable Selection in Joint Modeling Longitudinal and Survival Data [abs]

Menggang Yu, University of Wisconsin - Madison
Bayesian Approach for Flexible Modeling of Semicompeting Risks Data [abs]

Aiyou Chen, Google Inc.
Data Enrichment: Some Theory and Applications for Online Video Ads Incremental Reach Estimation [abs]

Tracy Ke, Princeton University
Covariance Assisted Screening and Estimation [abs]

Xibin Zhang, Monash University
Gaussian Kernel GARCH Models [abs]

Ping-Shou Zhong, Michigan State University
Empirical Likelihood for Testing Function Constraints with Functional Data [abs]

Shinto Eguchi, Institute of Statistical Mathematics and Graduate University of Advanced Studies
Pattern Recognition for Marine Ecological Assessments [abs]

Han-Ming Wu, Tamkang University
Nonlinear Dimension Reduction Through Cumulative Slicing Estimation for Nonlinear Manifolds Learning [abs]

Philip E. Cheng, Academia Sinica
Concise Learning in Large-dimensional Variables Using Information Ratios [abs]

Gerhard Dikta, Fachhochschule Aachen
Asymptotically Efficient Estimation Under Semi-parametric Random Censorship Models [abs]

Arusharka Sen, Concordia University
Eigenfunction Approach to Multivariate Censoring and Truncation [abs]

Winfried Stute, University of Giessen
Statistical Analysis of Self-exciting Marked Point Processes [abs]

Jiayang Sun, Case Western Reserve University
Compressive Inference - New Approach to Analyzing Images from Compressive Sensing [abs]

Long Feng, Nankai University
Composite T-square Test for High Dimensional Data [abs]

Zhenghui Feng, Xiamen University
Nonparametric Variable Selection and Its Application to Additive Models [abs]

Jin-Jian Hsieh, National Chung Cheng University
Quantile Regression Based on Counting Process Approach Under Semi-competing Risks Data [abs]

Yu-Ru Su, Fred Hutchinson Cancer Center
Modeling Left-truncated and Right-censored Survival Data with Longitudinal Covariates [abs]

Ming-Yueh Huang, National Taiwan University
Single-index Hazards Regression [abs]

Chiung-Yu Huang, Johns Hopkins University
Recurrent Event Data Analysis with Intermittently Observed Time-varying Covariates [abs]

Weichung Wang, National Taiwan University
Photonic Crystals Structure Optimization via Nested Surrogate Approachs [abs]

Robert B. Gramacy, University of Chicago
Local Gaussian Process Approximation for Large Computer Experiments [abs]

Peter Qian, University of Wisconsin at Madison
OEM with Big Data [abs]

Chunling Liu, Hong Kong Polytechnic University
Longitudinal Data Analysis with Mixed Model Based on Nonparametric Random Effects [abs]

Guohua Zou, Chinese Academy of Science
Model Averaging Estimation for Sparse High-dimensional Data [abs]

Liugen Xue, Beijing University of Technology
Estimation and Empirical Likelihood for Single-index Models with Missing Covariates [abs]

Wenlong Cai, The University of Hong Kong
Bootstrap Methods for Lasso-type Estimators Under a Moving-parameter Framework [abs]

Mihai C. Giurcanu, University of Florida
Bootstrap Methods in Non-regular Problems [abs]

Zhuqing Yu, Purdue University
Uniformly Correct Bootstrap Confidence Intervals under M-estimation [abs]

Heping Zhang, Yale University
Tree-based Methods for Personalized Medicine [abs]

Lu Tian, Stanford University
A General Framework of Stratifying Patient Population According to the Treatment Effect [abs]

Jay Bartroff, University of Southern California
Efficient Phase I-II Designs Using Sequential Generalized Likelihood Ratio Statistics [abs]

Lihui Zhao, Northwestern University
How to Effectively Select a Target Population Using Multiple Baseline Characteristics for a Future Comparative Study? [abs]

Yingye Zheng, Fred Hutchinson Cancer Research Center
Efficient Evaluation of Risk Markers for Censored Failure Time Outcome: Analyses and Designs [abs]

Layla Parast, Rand Corporation
Landmark Estimation of Survival and Treatment Effect [abs]

Suchun Cheng, Dana Farber Cancer Institute
Landmark Prediction of Long Term Survival Incorporating Short Term Event Time Information [abs]

Qian Zhou, Simon Fraser University
Incremental Value Assessment of New Markers Using Multi-phase Nested Case Control Studies [abs]

Wei Jiang, Shanghai Jiao Tong University
On Monitoring High-dimensional Data Streams [abs]

Shaoli Wang, Shanghai University of Finance and Economics
Laplace Error Penalty Based Variable Selection in Ultra-high Dimension [abs]

Xueqin Wang, Sun Yat-Sen University
Robust Variable Selection with Exponential Squared Loss [abs]

Ken Cheung, Columbia University
On the Efficiency of Nonparametric Variance Estimation in Sequential Dose Finding Studies [abs]

Xingdong Feng, Shanghai University of Finance and Economics
Efficient Estimation of Treatment Effects in High-dimensional Quantile Regression [abs]

Feifang Hu, George Washington University
Statistical Inference of Covariate-adaptive Randomized Clinical Trials [abs]

Lei Shi, Yunnan University of Finance and Economics
Meta Analysis of Mutiple Factors with Application in Legume-Rhizobia Mutualism System [abs]

Annie Qu, University of Illinois at Urbana at Champaign
Sufficient Dimension Reduction for Longitudinal Data [abs]

David Rossell, University of Warwick
Building Bayesian Models for High-dimensional Problems [abs]

Wenbin Lu, North Carolina State University
Low Rank Linear Discriminant Analysis for Matrix Data [abs]

Lianfen Qian, Florida Atlantic University
Efficient Empirical Likelihood Inference in Partial Linear Single-index Models for Longitudinal Data [abs]

Yuehua Wu, York University
Combining Multiple Satellite Precipitation Estimates with in Situ Precipitation Measurements [abs]

Liqun Wang, University of Manitoba
Adaptive Estimation of Forecast Error Covariance in Ensemble Kalman Filter for Data Assimilation [abs]

Sahand Negahban, Yale University
Iterative Ranking from Pair-wise Comparisons [abs]

Lie Wang, Massachusetts Institute of Technology
Multivariate Regression with Calibration [abs]

Yazhen Wang, University of Wisconsin
Large Volatility Matrix Estimation for High-frequency Financial Data [abs]

Fang Yao, University of Toronto
Effective Dimension Reduction for Sparse Functional Data [abs]

Hua Liang, George Washington University
High Dimensional ODEs Coupled with Mixed-effects Modeling Techniques for Gene Regulatory Network Identification [abs]