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Activity Details


214696
Sun, 7/30/2017, 1:30 PM - 4:30 PM H-Poe A
IMS Executive Committee Meeting — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS Executive Director
 
 

5 !
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-314
New Developments in Functional Data — Invited Papers
IMS , Section on Nonparametric Statistics
Organizer(s): Aurore Delaigle, University of Melbourne
Chair(s): Marianna Pensky, University of Central Florida
2:05 PM From Brain to Hand to Statistics with Dynamic Smoothing James O. Ramsay, McGill University
2:30 PM Testing Curvature in Functional Single Index Models: Inference for Reaction Norms in Ecology Giles J Hooker, Cornell University ; Zi Ye, Cornell University
2:55 PM Mixture Inner Product Spaces and Their Application to Functional Data Analysis Hans-Georg G Müller, University of California, Davis ; Fang Yao, University of Toronto ; Zhenhua Lin, University of Toronto
3:20 PM Clusering functional data using projections Aurore Delaigle, University of Melbourne ; Peter Hall, University of Melbourne ; Tung Pham, University of Melbourne
3:45 PM Floor Discussion
 
 

12 * !
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-Ballroom I
Bridging BFF (Bayesian/Fiducial/Frequentist) Inference in the Era of Data Science — Invited Papers
IMS , Section on Bayesian Statistical Science , Section on Statistical Consulting
Organizer(s): Dongchu Sun, University of Missouri
Chair(s): Dongchu Sun, University of Missouri
2:05 PM BFF Inferences with Rs: Replications, Relevance and Robustness Xiao-Li Meng, Harvard University ; Keli Liu, Stanford University
2:30 PM The Use of Rejection Odds and Rejection Ratios in Testing Hypotheses James Berger, Duke University ; Daniel Benjamin, University of Southern California ; Thomas Sellke, Purdue University
2:55 PM New Perspectives of P-Value and C-Factor for Hypothesis Testing Regina Y Liu, RUTGERS UNIVERSITY ; Sifan Y Liu, RUTGERS UNIVERSITY ; MINGE Y XIE, RUTGERS UNIVERSITY
3:20 PM Floor Discussion
 
 

15 * !
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-343
Networks, Multivariate Analysis, and Time Series — Topic Contributed Papers
Royal Statistical Society , IMS , IEEE Computer Society
Organizer(s): Jan Beran, University of Konstanz
Chair(s): Jan Beran, University of Konstanz
2:05 PM Network Time Series Modeling Marina Knight, University of York ; Matthew Nunes, Lancaster University ; Guy Nason, University of Bristol
2:25 PM On Aggregation of Strongly Dependent Network Flows — Jan Beran, University of Konstanz ; Sucharita Ghosh, Swiss Federal Research Institute WSL ; Haiyan Liu, University of Leeds
2:45 PM A Wavelet Lifting Approach to Long Memory Estimation Matthew Nunes, Lancaster University ; Marina Knight, University of York ; Guy Nason, University of Bristol
3:05 PM A Framework for the Online Monitoring and Analysis of Multi-Gigabit Network Streams Stilian Stoev, University of Michigan ; Michalis Kallitsis, Merit Network ; George Michailidis, University of Florida ; Shrijita Bhattacharya, University of Michigan ; Zheng Gao, University of Michigan
3:25 PM Semiparametric, Parametric and Possibly Sparse Models for Multivariate Long-Range Dependence Vladas Pipiras, University Od North Carolina At Chaple Hill ; Stefanos Kechagias, SAS Institute ; Changryong Baek, Sungkyunkwan University
3:45 PM Floor Discussion
 
 

16 !
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-340
Recent Advances and Challenges in High-Dimensional Data Analysis — Topic Contributed Papers
Section on Statistical Learning and Data Science , IMS , Section on Nonparametric Statistics
Organizer(s): Pierre Bellec, Rutgers University
Chair(s): Dan Yang, Rutgers University
2:05 PM On the Asymptotic Performance of Bridge Estimators Arian Maleki, Columbia Univ ; Haolei Weng, Columbia University ; Shuaiwen Wang, Columbia University
2:25 PM A General Framework for Uncovering Dependence Networks Johannes Lederer, University of Washington
2:45 PM The Generalized Lasso Problem and Uniqueness Alnur Ali ; Ryan Tibshirani, Carnegie Mellon University
3:05 PM Distributed Statistical Estimation and Rates of Convergence in Normal Approximation Stanislav Minsker, University of Southern California
3:25 PM Slope Meets Lasso in Sparse Linear Regression Pierre Bellec, Rutgers University
3:45 PM Floor Discussion
 
 

43
Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-329
Statistical Methods for Complex Networks — Invited Papers
IMS , International Indian Statistical Association , National Science Foundation
Organizer(s): Po-Ling Loh, UW-Madison
Chair(s): Po-Ling Loh, UW-Madison
4:05 PM Analysis of Centrality in Sublinear Preferential Attachment Trees Varun Suhas Jog, University of Wisconsin - Madison ; Po-Ling Loh, UW-Madison
4:35 PM Community Detection and Invariance to Distribution Guy Bresler, MIT ; Wasim Huleihel, MIT
4:55 PM DNA Seriation Under Planted Hamiltonian Path Model Jiaming Xu, Purdue University
5:20 PM Statistical Inference Problems in Growing Random Graphs Miklos Z Racz, Microsoft Research
5:45 PM Floor Discussion
 
 

49 * !
Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-331/332
Statistical Inference for Large-Scale Financial Data — Invited Papers
IMS , Business and Economic Statistics Section , Society for Risk Analysis , Statistics in Business Schools Interest Group
Organizer(s): Yingying Li, Hong Kong University of Science and Technology
Chair(s): Yingying Li, Hong Kong University of Science and Technology
4:05 PM Robust High-Dimensional Volatility Matrix Estimation for High-Frequency Factor Model — Jianqing Fan, Princeton University ; Donggyu Kim, Princeton University
4:30 PM Solve Financial Problems by Quantum Computing Yazhen Wang, University of Wisconsin Madison
4:55 PM Inference on Risk Premia Without a Fully Specified Factor Model Dacheng Xiu, University of Chicago ; Stefano Giglio, University of Chicago
5:20 PM Testing and Scoring High-dimensional Covariance Matrices When Heteroscedasticity is Present Xinghua Zheng, HKUST ; Xinxin Yang, HKUST ; Jiaqi Chen, Harbin Institute of Technology ; Hua Li, Chang Chun University
5:45 PM Floor Discussion
 
 

51 !
Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-326
Large-Scale Global and Simultaneous Inference — Invited Papers
IMS
Organizer(s): Wenguang Sun, University of Southern California
Chair(s): Wenguang Sun, University of Southern California
4:05 PM Hypothesis Testing of Matrix Graph Model Yin Xia, Fudan University
4:30 PM Inference Following Aggregate Level Hypothesis Testing in Large Scale Genomic Data Ruth Heller, Tel-Aviv University ; Nilanjan Chatterjee, Johns Hopkins University ; Abba Krieger, University of Pennsylvania ; Jianxin Shi, National Cancer Institute
4:55 PM New Approaches to Multiple Testing of Grouped Hypotheses Sanat K. Sarkar, Temple University
5:20 PM Confidence regions for spatial excursion sets from repeated random field observations, with an application to climate Max Sommerfeld, Universität Göttingen ; Stephen Sain, The Climate Corporation ; Armin Schwartzman, University of California, San Diego
5:45 PM Floor Discussion
 
 

61
Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-325
New Developments in Complex Time Series Data — Topic Contributed Papers
IMS , Business and Economic Statistics Section , International Chinese Statistical Association
Organizer(s): Han Xiao, Rutgers University
Chair(s): Dong Wang, Princeton University
4:05 PM A NEW APPROACH to DIMENSION REDUCTION for MULTIVARIATE TIME SERIES Xiaofeng Shao, University of Illinois, At Urbana-Champaign
4:25 PM Constrained Factor Model for High-Dimensional Matrix-Variate Time Series Yi Chen, Rutgers Univ Statistics Dept ; Rong Chen, Rutgers University
4:45 PM GRADIENT-BASED STRUCTURAL CHANGE DETECTION for NON-STATIONARY TIME SERIES M-ESTIMATION Zhou Zhou, University of Toronto
5:05 PM White Noise Test for High-Dimensional Time Series Han Xiao, Rutgers University
5:25 PM Baxter's Inequality and Sieve Bootstrap for Random Fields Jens-Peter Kreiss, TU Braunschweig ; Marco Meyer, TU Braunschweig ; Carsten Jentsch, University of Mannheim
5:45 PM Floor Discussion
 
 

83
Sun, 7/30/2017, 8:30 PM - 10:30 PM CC-Halls A&B
Your Invited Poster Evening Entertainment: No Longer Board — Invited Poster Presentations
Astrostatistics Special Interest Group , Biometrics Section , Biopharmaceutical Section , Business and Economic Statistics Section , ENAR , Government Statistics Section , IMS , International Society for Bayesian Analysis (ISBA) , Section for Statistical Programmers and Analysts , Section on Statistical Consulting , Section on Statistical Education , Section on Statistical Learning and Data Science , Section on Statistics and the Environment , Social Statistics Section , Survey Research Methods Section , Section on Statistics in Genomics and Genetics
Chair(s): Jessi Cisewski, Yale University
1: Overview of SAMSI Program on Statistical, Mathematical and Computational Methods for Astronomy (ASTRO) — Gutti Jogesh Babu, The Pennsylvania State University ; David Jones, SAMSI / Duke
2: A Multi-Resolution 3D Map of the Intergalactic Medium via the Lyman-Alpha Forest Collin Eubanks, Carnegie Mellon University ; Jessi Cisewski, Yale University ; Rupert Croft, Carnegie Mellon University ; Doug Nychka, National Center for Atmospheric Research ; Larry Wasserman, Carnegie Mellon
3: Testing Bayesian Galactic Mass Estimates Using Outputs from Hydrodynamical Simulations Gwendolyn Eadie, McMaster University ; Benjamin Keller, McMaster University ; William Harris, McMaster University ; Aaron Springford, Queen's University
4: Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives David Van Dyk, Imperial College London ; Sara Algeri, Imperial College London ; Jan Conrad, University of Stockholm
5: Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data David Craig Stenning, SAMSI/Duke University ; Working Group 1 ASTRO Program, SAMSI
6: The Association Between Copy Number Aberration, DNA Methylation, and Gene Expression Wei Sun, Fred Hutchinson Cancer Research Center
7: Rerandomization: a Flexible Framework for Experimental Design Kari Lock Morgan, Penn State University
8: IMs for IVs: An Inferential Model Approach to Instrumental Variable Regression Nicholas Aaron Syring, NCSU ; Ryan Martin, NCSU
9: Detecting Differential Gene Expression by Single-Cell RNA Sequencing Mingyao R Li, University of Pennsylvania ; Cheng Jia, University of Pennsylvania ; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
10: Statistical Science and Policy at the EPA Elizabeth Mannshardt, US Environmental Protection Agency
11: Approximate Message Passing Algorithms for High-Dimensional Regression Cynthia Rush, Columbia University
12: Generalized Fiducial Inference for High-Dimensional Data Jan Hannig, University of North Carolina at Chapel Hill ; Jonathan P Williams, University of North Carolina at Chapel Hill
13: The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution Ruobin Gong, Harvard University ; Xiao-Li Meng, Harvard University
14: Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees Suzanne Thornton, Rutgers University ; Minge Xie, Rutgers University
15: R Package TDA for Statistical Inference on Topological Data Analysis Jisu Kim, Carnegie Mellon University
16: Teaching a Large, Project-Based Statistical Consulting Class Emily Griffith, NC State University
17: Transforming Undergraduate Statistics Education Through Experiential Learning: It's Essential! Tracy Morris, University of Central Oklahoma ; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
18: The Geometry of Synchronization Problems and Learning Group Actions Tingran Gao, Duke University ; Jacek Brodzki, University of Southampton ; Sayan Mukherjee, Duke University
19: Sufficient Markov Decision Processes with Alternating Deep Neural Networks Longshaokan Wang, North Carolina State University ; Eric Laber, North Carolina State University ; Katie Witkiewitz, University of New Mexico
20: Optimal Dynamic Treatment Regimes Using Decision Lists Yichi Zhang, Harvard University ; Eric Laber, North Carolina State University ; Anastasios (Butch) Tsiatis, North Carolina State University ; Marie Davidian, North Carolina State University
21: Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression — Lei Ding, Indiana University ; Daniel J. McDonald, Indiana University
22: Computer Vision Meets Television Taylor Arnold, University of Richmond ; Lauren Tilton, University of Richmond
23: Generalized Fiducial Inference for Nonparametric Function Estimation Randy C.S. Lai, University of Maine
24: A Phylogenetic Transform Enhances Analysis of Compositional Microbiota Data Justin David Silverman, Duke University ; Sayan Mukherjee, Duke University ; Lawrence A David, Duke University
25: Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction John Tipton, Colorado State University ; Mevin Hooten, Colorado State University
26: Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models Yawen Guan, Penn State University ; Murali Haran, Pennsylvania State University
27: Fair Prediction with Disparate Impact: a Study of Bias in Recidivism Prediction Instruments Alexandra Chouldechova, Carnegie Mellon University
28: I Ran a Nonresponse Follow-Up Survey; Now What Do I Do? Phillip Kott, RTI
 
 

91 !
Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-340
Statistical Methods for Analysis of Time-Varying Network Data — Invited Papers
Section on Nonparametric Statistics , IMS , Section on Statistical Computing
Organizer(s): Marianna Pensky, University of Central Florida
Chair(s): Aurore Delaigle, University of Melbourne
8:35 AM Summaries of Networks in Time Sofia Olhede, UCL
9:00 AM Oracle Inequalities for the Dynamic Stochastic Block Model and Time-Dependent Graphon Marianna Pensky, University of Central Florida
9:25 AM Nonparametrics, Network Information and Efficient Estimation Patrick Wolfe, University College London
9:50 AM The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks Kevin Shuai Xu, University of Toledo ; Ruthwik Junuthula, University of Toledo ; Haghdan Maysam, University of Toledo ; Devabhaktuni Vijay, University of Toledo
10:15 AM Floor Discussion
 
 

92
Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-341
Computational Challenges in Statistics — Invited Papers
IMS , Section on Statistical Learning and Data Science
Organizer(s): Sahand Negahban, Yale University
Chair(s): Sahand Negahban, Yale University
8:35 AM Pairwise Comparison Models for High-Dimensional Ranking: Some Statistical and Computational Trade-Offs Sivaraman Balakrishnan, Department of Statistics, CMU ; Nihar B Shah, Univ of California - Berkeley ; Martin J. Wainwright, EECS and Statistics, University of California, Berkeley
9:00 AM On the Kiefer-Wolfowitz MLE for Gaussian Mixtures Adityanand Guntuboyina, UC Berkeley
9:25 AM Modeling Disease Propagation in Networks: Source-Finding and Influence Maximization Po-Ling Loh, UW-Madison
9:50 AM Guaranteed Tensor PCA with Optimality in Statistics and Computation Anru Zhang, University of Wisconsin-Madison ; Dong Xia, University of Wisconsin-Madison
10:15 AM Floor Discussion
 
 

100
Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-308
Medallion Lecture I — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): Alan Karr, RTI International
8:35 AM Design and Analysis of Randomized Experiments on Networks Edoardo M. Airoldi, Harvard University
10:15 AM Floor Discussion
 
 

101
Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-310
Foundation for Big Data Analysis — Invited Papers
IMS , Section on Statistical Learning and Data Science , Section on Nonparametric Statistics , Section for Statistical Programmers and Analysts
Organizer(s): Jianqing Fan, Princeton University
Chair(s): Jianqing Fan, Princeton University
8:35 AM Inference for Large Networks Peter Bickel, UC Berkeley ; purna sarkar, u. of texas ; Soumendu Mukherjee, UC Berkeley
9:00 AM Inference for Big Data Larry Wasserman, Carnegie Mellon
9:25 AM Eigenvalues and Variance Components Iain M Johnstone, Stanford Universty
9:50 AM Error Variance Estimation in Ultra-High Dimensional Regression Models Runze Li, The Pennsylvania State University ; Zhao Chen, The Pennsylvania State University ; Jianqing Fan, Princeton University
10:15 AM Floor Discussion
 
 

106 * !
Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-346
Empirical Transforms, Saddlepoint Approximations, and Risk Assessment with Some Applications — Topic Contributed Papers
Section on Risk Analysis , Business and Economic Statistics Section , IMS
Organizer(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
Chair(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
8:35 AM Estimation of the Tail Index Using Semiparametric Regression Emanuele Taufer, University of Trento ; Mofei Jia, Xi'an Jiaotong-Liverpool University ; Maria Michela Dickson, University of Trento
8:55 AM On Distributions of Ratios Simon Broda, University of Amsterdam ; Raymond Kan, University of Toronto
9:15 AM An Empirical Saddlepoint Approximation Based Method for Smoothing Survival Functions Under Right Censoring Adao Trindade, Texas Tech University ; Pratheepa Jeganathan , Stanford University ; Noroharivelo Randrianampy, HECMMA ; Robert Paige, Missouri University of Science and Technology
9:35 AM Portfolio Selection with Active Risk Monitoring Pawel Polak, Columbia University ; Marc Paolella, University of Zurich
9:55 AM Discussant: Keith Knight, Professor, Department of Statistical Sciences, University of Toronto
10:15 AM Floor Discussion
 
 

139 !
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-320
Challenges and Advances in Statistical Inference for Problems with Nonregularity in the Era of Big Data — Invited Papers
WNAR , Biometrics Section , IMS
Organizer(s): Youyi Fong, Fred Hutchinson Cancer Research Center
Chair(s): Kenneth Rice, University of Washington
10:35 AM Model-Robust Inference for Continuous Threshold Regression Models — Chongzhi Di, Fred Hutchinson Cancer Research Center ; Ying Huang, Fred Hutchinson Cancer Research Center ; Peter Gilbert, Fred Hutchinson Cancer Research Center ; Youyi Fong, Fred Hutchinson Cancer Research Center
10:55 AM Local M-Estimation with Discontinuous Criterion for Dependent and Limited Observations Myung Hwan Seo, SEOUL NATIONAL UNIVERSITY ; Taisuke Otsu, London School of Economics
11:15 AM Intelligent Sampling for Identifying Thresholds in Observed Databases and Time Series Zhiyuan Lu, University of Michigan ; Moulinath Banerjee, University of Michigan ; George Michailidis, University of Florida
11:35 AM Marginal Screening in Case-Control Studies Min Qian, Columbia University ; Ian McKeague, Columbia University
11:55 AM Clustering Functional Databased on Change-Point Models for Electronic Monitoring Data Chongzhi Di, Fred Hutchinson Cancer Research Center ; Yifan Zhu, Fred Hutchinson Cancer Research Center ; Ying Qing Chen, Fred Hutchinson Cancer Research Center
12:15 PM Floor Discussion
 
 

144 !
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-336
Uncover the Essential Truth by Integrating Big and Complex Imaging Data with New Statistical Tools — Invited Papers
SSC , IMS , Section on Statistics in Imaging , Section for Statistical Programmers and Analysts
Organizer(s): Linglong Kong, University of Alberta
Chair(s): Adam Kashlak, Univ of Cambridge
10:35 AM A Bayesian Approach to SENSE Image Reconstruction in fMRI Daniel B. Rowe, Marquette University
11:00 AM A Hierarchy of Brain Networks Revealed by MVPA Performance Metrics Stephen Strother, Baycrest & University of Toronto ; Cheryl Grady, Baycrest & University of Toronto
11:25 AM Classification Using the Morlet Transform for fMRI Data Debashis Ghosh, Colorado School of Public Health ; Manish Dalwani, Colorado School of Medicine
11:50 AM A Potts Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data — Yin Song, University of Victoria ; Farouk Nathoo, University of Victoria
12:15 PM Floor Discussion
 
 

145 * !
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-315
Statistical Methods in Data Integration and Data Harmonization — Invited Papers
ENAR , WNAR , IMS , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Peter XK Song, University of Michigan,
Chair(s): Peter XK Song, University of Michigan,
10:35 AM Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources Nilanjan Chatterjee, Johns Hopkins University ; Runlong Tang, Johns Hopkins University ; Prosenjit Kundu, Johns Hopkins University
11:00 AM Meta-Analysis with Extremely Small Number of Studies Lu Tian, Stanford University ; Minge Xie, Rutgers University ; LJ Wei, Harvard University
11:25 AM Integrating Imaging and Genetic Data for Understanding Neuropsychological Disorders Heping Zhang, Yale University School of Public Health ; Canhong Wen, Sun Yat-Sen University ; Chintan Mehta, Yale University
11:50 AM Discussant: Ryan Martin, NCSU
12:15 PM Floor Discussion
 
 

146
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-310
Blackwell Lecture — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): Sahand Negahban, Yale University
10:35 AM Information-Theoretic Methods in Statistics: From Privacy to Optimization Martin J. Wainwright, EECS and Statistics, University of California, Berkeley
12:15 PM Floor Discussion
 
 

147 * !
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-328
Bayesian Hierarchical Modeling: Obtaining Optimal Performance Through Theoretical Understanding — Invited Papers
IMS , Section on Bayesian Statistical Science
Organizer(s): James Berger, Duke University
Chair(s): James Berger, Duke University
10:35 AM Posterior Concentration for Bayesian Regression Trees and their Ensembles Veronika Rockova, University of Chicago ; Stephanie van der Pas, Leiden University
11:00 AM Large-P Small-N Nonparametric Regression and Additive-Interactive Response Functions Surya T Tokdar, Duke University
11:25 AM An Objective Prior for Hyperparameters in Normal Hierarchical Models Dongchu Sun, University of Missouri
11:50 AM Discussant: Edward I. George, Wharton, University of Pennsylvania
12:15 PM Floor Discussion
 
 

161
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-325
SPEED: Nonparametrics and Imaging — Contributed Speed
Section on Nonparametric Statistics , Section on Statistics in Imaging , SSC , IMS
Chair(s): Suzanne Thornton, Rutgers University
10:40 AM Automatic Shape-Constrained Nonparametric Regression Zhikun Gao, George Washington University ; Huixia Judy Wang, The George Washington University ; Yanlin Tang, School of Mathematical Sciences, Tongji University
10:45 AM Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events Todd Wilson, North Carolina State University ; Sujit K Ghosh, North Carolina State University
10:50 AM Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response Qianqian Wang, University of South Carolina ; Yanyuan Ma, Penn State University ; Guangren Yang, Jinan University ; Xia Cui, Zhongshan University
11:00 AM Estimation of Locally Stationary Spatial Processes with Applications to the American Community Survey Daniel Weinberg, U.S. Census Bureau ; Tucker McElroy, U. S. Census Bureau ; Soumendra N Lahiri, North Carolina State University
11:05 AM A Comparison of Testing Methods in Scalar-On-Function Regression Merve Tekbudak, North Carolina State University ; Marcela Alfaro Córdoba, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Arnab Maity, North Carolina State University
11:10 AM Weighted Quantile Regression Splines using Total Variation Regularization Jae-Hwan Jhong, Korea University ; Ja-Yong Koo, Korea University
11:20 AM Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics Xiao Li, University of Texas, School of Public Health, Department of Biostatistics ; Michele Guindani, University of California, Irvine ; Chaan Ng, The University of Texas MD Anderson C ; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11:30 AM Efficient Multivariate Entropy Estimation Via k-Nearest Neighbour Distances Thomas Berrett, University of Cambridge
11:35 AM Inference in a Hidden Markov Model with Log-Concave Emission Densities Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
11:40 AM Enhancing Power of Case-Control Studies by Using Prevalent Cases Marlena Maziarz, National Cancer Institute ; Jing Qin, National Institute of Allergy and Infectious Diseases ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
11:45 AM Testing the Adequacy of Linear Mixed Effects Models Stephanie Chen, North Carolina State University ; Luo Xiao, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics
11:50 AM Floor Discussion
 
 

166
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-330
New Developments in High-Dimensional Statistics — Contributed Papers
IMS
Chair(s): Yen-Chi Chen, University of Washington
10:35 AM High-Dimensional Propensity Score via Covariate Balancing Yang Ning, Cornell University ; Sida Peng, Cornell University ; Kosuke Imai, Princeton University
11:05 AM Bootstrapping Spectral Statistics in High Dimensions Miles Lopes, UC Davis ; Alexander Aue, University of California, Davis ; Andrew Blandino, UC Davis
11:20 AM Adaptive Sparse Estimation with Side Information Trambak Banerjee, USC ; Gourab Mukherjee, University of Southern California ; Wenguang Sun, University of Southern California
11:35 AM Conditional Means of Low-Dimensional Projections from High-Dimensional Data: Explicit Error Bounds Ivana Milovic, University of Vienna ; Hannes Leeb, University of Vienna
11:50 AM Functional Classification with Missing Data — Crystal Shaw, CSU Northridge ; Majid Mojirsheibani, CSU Northridge
12:05 PM Embracing the Blessing of Dimensionality in Factor Models Quefeng Li, The University of North Carolina at Chapel Hill ; Guang Cheng, Purdue ; Jianqing Fan, Princeton University ; Yuyan Wang, Princeton University
 
 

214697
Mon, 7/31/2017, 12:00 PM - 1:30 PM H-Key Ballroom 3
IMS Editors Meetings — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS Executive Director
 
 

214718
Mon, 7/31/2017, 12:30 PM - 2:00 PM H-Peale A
Annals of Statistics Editorial Meeting — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS Executive Director
 
 

201 * !
Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-336
Essential Recent Papers in Stat — Invited Papers
International Statistical Institute , Section on Statistical Graphics , IMS
Organizer(s): John E. Kolassa, Rutgers, the State University of New Jersey
Chair(s): John E. Kolassa, Rutgers, the State University of New Jersey
2:05 PM Visualization of Robust L1PCA Yi-Hui Zhou, North Carolina State University ; J. S. (Steve) Marron, University of North Carolina
2:35 PM Interactive Graphics for Functional Data Analyzes — Julia Wrobel, Columbia University, Department of Biostatistics ; So-Young Park, North Carolina State University, Department of Statistics ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Jeff Goldsmith, Columbia University
3:05 PM Inferring Population Size: Extending the Multiplier Method to Incorporate Multiple Traits with a Likelihood-Based Approach Vivian Meng, McGill University
3:35 PM Floor Discussion
 
 

205
Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-311
New Direction for Model Selection in Big Data — Invited Papers
IMS
Organizer(s): Linda Zhao, University of Pennsylvania
Chair(s): Linda Zhao, University of Pennsylvania
2:05 PM Optimal Variable Selection via Sparse Tensor Decomposition Dong Wang, Princeton University
2:35 PM Private False Discovery Rate Control Weijie Su, University of Pennsylvania ; Cynthia Dwork, Harvard University ; Li Zhang, Google Inc.
3:05 PM Variable Selection for Bilinear Regression with Matrix Covariates Dan Yang, Rutgers University
3:35 PM Floor Discussion
 
 

210
Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-310
Medallion Lecture II — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): David Donoho, Stanford University
2:05 PM State-Space Modeling of Dynamics Processes in Neuroscience Emery N. Brown, Massachusetts Institute of Technology
3:45 PM Floor Discussion
 
 

212 * !
Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-323
Selective Inference — Invited Papers
IMS
Organizer(s): Emmanuel J. Candes, Stanford University
Chair(s): Emmanuel J. Candes, Stanford University
2:05 PM Structure Adaptive Multiple Testing — Ang Li, University of Chicago ; Rina Foygel Barber, University of Chicago
2:30 PM AdaPT: An Interactive Procedure for Multiple Testing with Side Information William Fithian, UC Berkeley Statistics ; Lihua Lei, UC Berkeley Statistics
2:55 PM Selective sampling after solving a convex problem Jonathan Taylor, Stanford University
3:20 PM Selective Inference in hierarchical high dimensional data analysis Yoav Benjamini, Tel-Aviv University
3:45 PM Floor Discussion
 
 

252
Mon, 7/31/2017, 3:05 PM - 3:50 PM CC-Halls A&B
SPEED: Nonparametrics and Imaging — Contributed Poster Presentations
Section on Nonparametric Statistics , Section on Statistics in Imaging , SSC , IMS
Chair(s): Jessi Cisewski, Yale University
2: Automatic Shape-Constrained Nonparametric Regression Zhikun Gao, George Washington University ; Huixia Judy Wang, The George Washington University ; Yanlin Tang, School of Mathematical Sciences, Tongji University
3: Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events Todd Wilson, North Carolina State University ; Sujit K Ghosh, North Carolina State University
4: Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response Qianqian Wang, University of South Carolina ; Yanyuan Ma, Penn State University ; Guangren Yang, Jinan University ; Xia Cui, Zhongshan University
6: Estimation of Locally Stationary Spatial Processes with Application to the American Community Survey Daniel Weinberg, U.S. Census Bureau ; Tucker McElroy, U. S. Census Bureau ; Soumendra N Lahiri, North Carolina State University
7: A Comparison of Testing Methods in Scalar-On-Function Regression Merve Tekbudak, North Carolina State University ; Marcela Alfaro Córdoba, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Arnab Maity, North Carolina State University
8: Weighted Quantile Regression Splines using Total Variation Regularization Jae-Hwan Jhong, Korea University ; Ja-Yong Koo, Korea University
10: Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics Xiao Li, University of Texas, School of Public Health, Department of Biostatistics ; Michele Guindani, University of California, Irvine ; Chaan Ng, The University of Texas MD Anderson C ; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11: Efficient Multivariate Entropy Estimation Via k-Nearest Neighbour Distances Thomas Berrett, University of Cambridge
12: Inference in a Hidden Markov Model with Log-Concave Emission Densities Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
13: Enhancing Power of Case-Control Studies by Using Prevalent Cases Marlena Maziarz, National Cancer Institute ; Jing Qin, National Institute of Allergy and Infectious Diseases ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
14: Testing the Adequacy of Linear Mixed Effects Models Stephanie Chen, North Carolina State University ; Luo Xiao, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics
The Speed portion will take place during Session 214529
 
 

255
Mon, 7/31/2017, 8:00 PM - 9:30 PM CC-Ballroom I
IMS Presidential Address and Awards Ceremony — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
8:05 PM Teaching Statistics in the Age of Data Science Jon A. Wellner, University of Washington
 
 

214698
Mon, 7/31/2017, 9:30 PM - 11:00 PM CC-Ballroom II
IMS Reception Following the IMS Presidential Address and Awards Ceremony — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS Executive Director
 
 

265
Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-309
New Directions in Statistical Network Analysis — Invited Papers
Section on Statistical Learning and Data Science , IMS , Section on Nonparametric Statistics
Organizer(s): Liza Levina, University of Michigan
Chair(s): Liza Levina, University of Michigan
8:35 AM Structured Shrinkage for Network Regression Peter Hoff, Duke University
9:00 AM Prediction Models for Network-Linked Data Ji Zhu, University of Michigan
9:25 AM Network modelling of topological domains using Hi-C data Rachel Wang ; Purnamrita Sarkar, University of Texas, Austin ; Oana Ursu, Stanford University ; Anshul Kundaje, Stanford University ; Peter Bickel, University of California, Berkeley
9:50 AM Discussant: Edoardo M. Airoldi, Harvard University
10:15 AM Floor Discussion
 
 

268 * !
Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-349
A Unifying Theme for Interpretable Information Extraction from Data: The Stability Principle — Invited Papers
IMS , Section on Statistical Learning and Data Science
Organizer(s): Bin Yu, University of California, Berkeley
Chair(s): Anru Zhang, University of Wisconsin-Madison
8:35 AM Three Principles for Data Science: Predictability, Stability and Computability Bin Yu, University of California, Berkeley
9:00 AM Stability, Uncertainty, and Bayesian Learning Chris Holmes, University of Oxford
9:25 AM Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing — Ryan Rogers, University of Pennsylvania ; Aaron Roth, University of Pennsylvania ; Adam Smith, Pennsylvania State University ; Om Thakkar, Penn State
9:50 AM The Central Role of Stability in Causal Inference Peng Ding, University of California, Berkeley
10:15 AM Floor Discussion
 
 

272 !
Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-350
Modern Statistical Inference — Invited Papers
IMS
Organizer(s): Harrison H. Zhou, Yale University
Chair(s): Harrison H. Zhou, Yale University
8:35 AM Optimal hypothesis testing for stochastic block models with growing degrees — Debapratim Banerjee, University of Pennsylvania ; Zongming Ma, University of Pennsylvania
9:05 AM Linear Predictors for Semi-Supervised Regression Lawrence D. Brown, University of Pennsylvania
9:35 AM Generalized Cp (GCP) for Realistic Out-Of-Sample Prediction Linda Zhao, University of Pennsylvania
10:05 AM Floor Discussion
 
 

274
Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-310
Medallion Lecture III — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): Moulinath Banerjee, University of Michigan
8:35 AM Coverage of Nonparametric Credible Sets Subhashis Ghoshal, North Carolina State University
10:15 AM Floor Discussion
 
 

306
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-328
Causal Inference — Invited Papers
IMS
Organizer(s): Peter Bühlmann, ETH Zurich
Chair(s): Dylan Small, University of Pennsylvania
10:35 AM Inferring Causal Effects with Invalid Instruments in Mendelian Randomization Hyunseung Kang, Economics, Stanford Graduate School of Business, Stanford University
11:05 AM Causal Structure Learning in High-Dimensional Settings Preetam Nandy, University of Pennsylvania
11:35 AM Causal structure learning for multivariate point processes Niels Richard Hansen, University of Copenhagen
12:05 PM Floor Discussion
 
 

309 *
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-331/332
Statistical Topics in Precision Medicine — Invited Papers
IMS , ENAR , Section on Statistical Learning and Data Science
Organizer(s): Heping Zhang, Yale University School of Public Health
Chair(s): Heping Zhang, Yale University School of Public Health
10:35 AM New Adaptive Designs of Clinical Trial for Precision Medicine Feifang Hu, George Washington University
11:00 AM Individualized Fusion Learning (IFusion) with Applications to Personalized Inference Minge Xie, Rutgers University ; Jieli Shen, Rutgers University ; Regina Liu, Rutgers University
11:25 AM Statistical Machine Learning and Precision Medicine Michael Lawson, University of North Carolina at Chapel Hill ; Michael R Kosorok, University of North Carolina at Chapel Hill
11:50 AM Hypothesis testings on high-dimensional individualized treatment rules Young-Geun Choi, Fred Hutchinson Cancer Research Center ; Yang Ning, Cornell University ; Yingqi Zhao, Fred Hutchinson Cancer Research Center
12:15 PM Floor Discussion
 
 

310
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-336
Advances and Novel Problems in Flexible Analysis of Clustered Data with Complex Structures — Invited Papers
Section on Nonparametric Statistics , Korean International Statistical Society , IMS
Organizer(s): Lan Wang, University of Minnesota
Chair(s): Lan Wang, University of Minnesota
10:35 AM Flexible parametric approach to classical measurement error variance estimation without auxiliary data Ingrid Van Keilegom, ORSTAT, KU LEUVEN
11:00 AM Flexible Bayesian Additive Joint Models — Meike Köhler, Helmholtz Zentrum München ; Nikolaus Umlauf, Universität Innsbruck ; Sonja Greven, Ludwig-Maximilians-Universität München
11:25 AM Analysis of Clustered Complex Design Data: Propensity Score Matching Mi-Ok Kim, UCSF
11:50 AM A Simple and Adaptive Two-Sample Test in High Dimensions — Jin-Ting Zhang, National University of Singapore ; Jin Guo, National University of Singapore ; Bu Zhou, National University of Singapore ; Ming-Yen Cheng, National Taiwan University
12:15 PM Floor Discussion
 
 

314
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-329
Recent Advances in High-Dimensional Inferences — Invited Papers
IMS , International Chinese Statistical Association , Section on Statistical Learning and Data Science
Organizer(s): Ming Yuan, University of Wisconsin
Chair(s): Ming Yuan, University of Wisconsin
10:35 AM Overlapping clustering with LOVE Florentina Bunea, Cornell
11:00 AM Adaptive Prediction in Additive Models Cun-Hui Zhang, Rutgers University
11:25 AM Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Data Analysis Tony Cai, University of Pennsylvania ; Anru Zhang, University of Wisconsin-Madison
11:50 AM Robust Covariate-Adjusted Multiple Testing Jianqing Fan, Princeton University ; Wen-Xin Zhou, Princeton University ; Koushiki Bose, Princeton University ; Han Liu, Princeton University
12:15 PM Floor Discussion
 
 

332
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-322
SPEED: Section on Bayesian Statistical Science — Contributed Speed
Section on Bayesian Statistical Science , IMS
Chair(s): Nanhua Zhang, Cincinnati Children's Hospital Medical Center
10:35 AM Bayesian Models for Automatic Landmark Detection on Elastic Curves Justin Strait, Department of Statistics, The Ohio State University ; Oksana A Chkrebtii, The Ohio State University ; Sebastian Kurtek, The Ohio State University
10:40 AM Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials Junhao Liu, University of Kansas Medical Center ; Yu Jiang, School of Public Health, University of Memphis ; Jo Wick, University of Kansas Medical Center ; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center
10:45 AM A Bayesian Approach for the Segmentation of Series Corrupted by a Functional Part Cristian Meza, CIMFAV-Universidad de Valparaíso ; Meili Baragatti, SupAgro-INRA ; Karine Bertin, CIMFAV-Universidad de Valparaíso ; Emilie Lebarbier, AgroParisTech
10:50 AM A Bayesian Race Model for Response Times Under Cyclic Stimulus Discriminability Deborah Kunkel, The Ohio State University ; Kevin Potter, University of Massachusetts ; Trisha Van Zandt, The Ohio State University ; Peter F Craigmile, The Ohio State University ; Mario Peruggia, The Ohio State University
10:55 AM Partioning Priors for Spatiotemporal Multiscale Models Andrew Hoegh, Montana State University
11:10 AM A Bayesian Sequential Design with Adaptive Randomization for Two-Sided Hypothesis Tests Qingzhao Yu, Louisiana State University Health Sciences Center ; Lin Zhu, Louisiana State University Health Sciences Center ; Han Zhu, Pharmaceutical Product Development, Inc.
11:15 AM Bayesian Inference about the Directional Brain Network Modeled by Damped Harmonic Oscillators for Intracranial EEG Data Yinge Sun, University of Virginia ; Tingting Zhang, University of Virginia ; Qiannan Yin, University of Virginia ; Brian Scott Caffo, Johns Hopkins ; Dana Boatman-Reich, Johns Hopkins University
11:30 AM Hyperparameter Selection for the Latent Dirichlet Allocation Model Wei Xia, University of Florida ; Hani Doss, University of Florida
11:45 AM Bayesian Clustering on Stiefel Manifolds Ritendranath Mitra ; Subhajit Sengupta, NorthShore University Health System ; Subhadip Pal, University of Louisville
11:50 AM Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis Shirley Liao ; Corwin Zigler, Harvard University
11:55 AM Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors Sameer Kirtikumar Deshpande, The Wharton School ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
12:10 PM Multi-Way Interacting Regression via Factorization Machines Mikhail Yurochkin ; Long Nguyen, University of Michigan ; Nikolaos Vasiloglou, Infor
12:15 PM Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models Dootika Vats, University of Minnesota
 
 

339
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-330
Model-Fitting, Likelihood-Based Inference, and Their Applications — Contributed Papers
IMS
Chair(s): Grace Li, Eli Lilly and Company
10:35 AM On the Properties of the Gradient of Log Empirical Likelihood Sanjay Chaudhuri, National University of Singapore
10:50 AM Robust Tests Using a Divergence Measure Abhijit Mandal, Wayne State University ; Ayanendranath Basu, Indian Statistical Institute ; Leandro Pardo, Complutense University of Madrid ; Nirian Martin, Complutense University of Madrid
11:05 AM Different Paradigms of Interpretation for Forensic Value of Evidence Quantification Danica Ommen, South Dakota State University ; Christopher Saunders, South Dakota State University ; Reinoud Stoel, Netherlands Forensic Institute ; Peter Vergeer, Netherlands Forensic Institute
11:20 AM Robustness of Lognormal Confidence Regions for Means of Symmetric Positive Matrices Benoit Ahanda, Texas Tech University ; Daniel E Osborne, Florida A&M University ; Leif Ellingson, Texas Tech University
11:50 AM Floor Discussion
 
 

354
Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-Halls A&B
Contributed Poster Presentations: IMS — Contributed Poster Presentations
IMS
Chair(s): Jessi Cisewski, Yale University
28: Exponentiated Generalized Pareto Distribution: Properties and Applications Towards Extreme Value Theory Se Yoon Lee, Texas A&M University ; Joseph H. T. Kim, Yonsei University
29: Properties of Some Modern Measures of Dependence Mary Elvi Paler, University of Wisconsin-Platteville ; Maria Rizzo, Bowling Green State University
30: Plausibility Regions on the Parameters of Skew Normal Distributions Based on Inferential Models Xiaonan Zhu, New Mexico State University ; Tonghui Wang, New Mexico State University ; Baokun Li, Southwestern University of Finance and Economy, P. R. China
31: Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor Yu Liu, University of Pittsburgh ; Zhao Ren, University of Pittsburg
32: Incomplete U-Processes for Forensic Sufficiency Studies in Questioned Document Examination Cami Fuglsby, South Dakota State University ; Christopher Saunders, South Dakota State University
 
 

214699
Tue, 8/1/2017, 12:30 PM - 2:00 PM H-Key Ballroom 10
IMS Council Meeting — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS Executive Director
 
 

214700
Tue, 8/1/2017, 2:00 PM - 2:30 PM H-Key Ballroom 10
IMS Business Meeting — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS Executive Director
 
 

380
Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-328
Recent Advances in High-Dimensional Statistics and Computational Methods — Invited Papers
IMS , Section on Statistical Learning and Data Science
Organizer(s): Yin Xia, Fudan University
Chair(s): Yin Xia, Fudan University
2:05 PM SMART: Simultaneous Multistage Adaptive Ranking and Thresholding for Sparse Signal Recovery Wenguang Sun, University of Southern California ; Weinan Wang, University of Southern California
2:30 PM RESTRICTED STRONG CONVEXITY IMPLIES WEAK SUBMODULARITY Sahand Negahban, Yale University ; Ethan Elenberg, UT Austin ; Rajiv Khanna, UT Austin ; Alex Dimakis, UT Austin
2:55 PM Interactive Visualization and Fast Computation of the Solution Path for Convex Clustering and Biclustering John Nagorski, Rice University ; Genevera I. Allen, Rice University
3:20 PM Identifiability and Inference of Causal Effects with High-Dimensional and Invalid Instruments — Changjing Wu, Peking University ; Minghua Deng, Peking University ; Wei Lin, Peking University
3:45 PM Floor Discussion
 
 

387
Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-Ballroom I
Medallion Lecture IV — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): David Dunson, Duke University
2:05 PM Probabilistic Numerical Computation: A Role for Statisticians in Numerical Analysis? Mark Girolami, Imperial College London
3:45 PM Floor Discussion
 
 

388 !
Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-329
Random Matrices and Applications — Invited Papers
IMS , Section on Statistical Learning and Data Science
Organizer(s): Iain M Johnstone, Stanford Universty
Chair(s): Iain M Johnstone, Stanford Universty
2:05 PM Free Component Analysis Raj Rao Nadakuditi, University of Michigan
2:30 PM High-Dimensional Cointegration Analysis Alexei Onatski, University of Cambridge
2:55 PM On Structure Testing for Component Covariance Matrices of a High-Dimensional Mixture Jianfeng YAO, The University of Hong Kong ; Weiming Li, Shanghai University of Finance and Economics
3:20 PM SHARP DETECTION in PCA UNDER CORRELATIONS Edgar Dobriban, Stanford University
3:45 PM Floor Discussion
 
 

403
Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-325
Selected Topics on Hypothesis Testing and Statistical Inference — Contributed Papers
IMS , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Chair(s): Quefeng Li, The University of North Carolina at Chapel Hill
2:05 PM A Neighborhood Hypothesis Test for Functional Data with an Application to Ecological Data Leif Ellingson, Texas Tech University ; Dhanamalee Bandara, Texas Tech University ; Souparno Ghosh, Texas Tech University
2:20 PM Testing for Model Adequacy in Censored Location-Scale Families Sundarraman Subramanian, New Jersey Institute of Technology
2:35 PM Nonparametric Inference via Bootstrapping the Debiased Estimator Yen-Chi Chen, University of Washington
2:50 PM A Higher Order Criticism of Higher Criticism Thomas Porter, The University of Sydney ; Michael Stewart, The University of Sydney
3:05 PM A Doubly Adaptive Inferential Method for Monotone Graph Invariants Junwei Lu, Princeton University ; Matey Neykov, Princeton University ; Han Liu, Princeton University
3:20 PM Hypothesis Testing for Simultaneous Variable Clustering and Correlation Network Estimation, with Application to Gene Co-Expression Networks Kevin Lin, Carnegie Mellon University, Statistics Department ; Junwei Lu, Princeton University ; Han Liu, Princeton University ; Kathryn Roeder, Carnegie Mellon University
3:35 PM Using Phylogenetic Models for Quantitative Trait Mapping with Multiple Loci Katherine Thompson, University of Kentucky ; Catherine Linnen, University of Kentucky
 
 

422
Tue, 8/1/2017, 2:00 PM - 2:45 PM CC-Halls A&B
SPEED: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science , IMS
Chair(s): Jessi Cisewski, Yale University
1: Bayesian Models for Automatic Landmark Detection on Elastic Curves Justin Strait, Department of Statistics, The Ohio State University ; Oksana A Chkrebtii, The Ohio State University ; Sebastian Kurtek, The Ohio State University
2: Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials Junhao Liu, University of Kansas Medical Center ; Yu Jiang, School of Public Health, University of Memphis ; Jo Wick, University of Kansas Medical Center ; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center
3: A Bayesian Race Model for Response Times Under Cyclic Stimulus Discriminability Deborah Kunkel, The Ohio State University ; Kevin Potter, University of Massachusetts ; Trisha Van Zandt, The Ohio State University ; Peter F Craigmile, The Ohio State University ; Mario Peruggia, The Ohio State University
6: A Bayesian Sequential Design with Adaptive Randomization for Two-Sided Hypothesis Tests Qingzhao Yu, Louisiana State University Health Sciences Center ; Lin Zhu, Louisiana State University Health Sciences Center ; Han Zhu, Pharmaceutical Product Development, Inc.
7: Bayesian Inference about the Directional Brain Network Modeled by Damped Harmonic Oscillators for Intracranial EEG Data Yinge Sun, University of Virginia ; Tingting Zhang, University of Virginia ; Qiannan Yin, University of Virginia ; Brian Scott Caffo, Johns Hopkins ; Dana Boatman-Reich, Johns Hopkins University
9: Hyperparameter Selection for the Latent Dirichlet Allocation Model Wei Xia, University of Florida ; Hani Doss, University of Florida
11: Multi-Way Interacting Regression via Factorization Machines Mikhail Yurochkin ; Long Nguyen, University of Michigan ; Nikolaos Vasiloglou, Infor
12: Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models Dootika Vats, University of Minnesota
13: A Bayesian Approach for the Segmentation of Series Corrupted by a Functional Part Cristian Meza, CIMFAV-Universidad de Valparaíso ; Meili Baragatti, SupAgro-INRA ; Karine Bertin, CIMFAV-Universidad de Valparaíso ; Emilie Lebarbier, AgroParisTech
14: Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis Shirley Liao ; Corwin Zigler, Harvard University
15: Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors Sameer Kirtikumar Deshpande, The Wharton School ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
16: Partioning Priors for Spatiotemporal Multiscale Models Andrew Hoegh, Montana State University
18: Bayesian Clustering on Stiefel Manifolds Ritendranath Mitra ; Subhajit Sengupta, NorthShore University Health System ; Subhadip Pal, University of Louisville
The Speed portion will take place during Session 214517
 
 

426
Tue, 8/1/2017, 4:00 PM - 5:50 PM CC-Ballroom I
Wald Lecture I — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): Tony Cai, University of Pennsylvania
4:05 PM What's Happening in Selective Inference I? Emmanuel J. Candes, Stanford University
5:45 PM Floor Discussion
 
 

214701
Wed, 8/2/2017, 7:30 AM - 9:00 AM H-Poe B
Statistics Surveys Editors Meeting — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS Executive Director
 
 

436
Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-337
Modern Change Point Problems — Invited Papers
IMS
Organizer(s): Richard J. Samworth, Statistical Laboratory, University of Cambridge
Chair(s): Richard J. Samworth, Statistical Laboratory, University of Cambridge
8:35 AM Multiple change-point detection via multiscale MOSUM procedure with localised pruning Haeran Cho, University of Bristol
9:00 AM Recent Advances in Multiple Change-Point Detection Piotr Fryzlewicz, London School of Economics ; Yining Chen, London School of Economics ; Rafal Baranowski, London School of Economics
9:25 AM Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers — Veeranjaneyulu Sadhanala, Carnegie Mellon University ; Yu-Xiang Wang, Carnegie Mellon University ; Ryan Tibshirani, Carnegie Mellon University
9:50 AM Floor Discussion
 
 

442
Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-338
Model-Based Statistical Analysis of Network Data — Invited Papers
IMS
Organizer(s): Zongming Ma, University of Pennsylvania
Chair(s): Zongming Ma, University of Pennsylvania
8:35 AM Random Networks, Graphical Models, and Exchangeability Alessandro Rinaldo, Carnegie Mellon University ; Steffen Lilholt Lauritzen, University of Copenhagen ; Kayvan Sadeghi, University of Cambridge
9:00 AM Community Detection in Multi-Relational Data Through Multi-Layer Stochastic Blockmodel Yuguo Chen, University of Illinois at Urbana-Champaign
9:25 AM Statistical and Computational Guarantees of Lloyd's Algorithm and Its Variants Yu Lu, Yale University ; Harrison H. Zhou, Yale University
9:50 AM Estimating the number of connected components of large graphs based on subgraph sampling Yihong Wu, Yale University
10:15 AM Floor Discussion
 
 

444
Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-310
Medallion Lecture V — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): Edward I. George, Wharton, University of Pennsylvania
8:35 AM On the Semiparametric Bernstein-Von Mises Theorem in Regular and Nonregular Models Judith N. Rousseau, Université Paris Dauphine
10:15 AM Floor Discussion
 
 

446 * !
Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-328
Prediction vs. Inference in Personalized Medicine — Invited Papers
Mental Health Statistics Section , IMS , Section on Risk Analysis
Organizer(s): Booil Jo, Stanford University
Chair(s): Elizabeth Stuart, Johns Hopkins University
8:35 AM Personalizing Mobile Health Interventions Susan A Murphy, University of Michigan
9:00 AM Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods Hemant Ishwaran, University of Miami
9:25 AM Discussant: Tyler J. VanderWeele, Harvard University
9:45 AM Discussant: Xiao-Li Meng, Harvard University
10:05 AM Floor Discussion
 
 

477 *
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-336
Bayesian Methods for High-Dimensional Inference — Invited Papers
IMS , Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Section on Statistical Learning and Data Science
Organizer(s): David Dunson, Duke University
Chair(s): David Dunson, Duke University
10:35 AM Clustering High-Dimensional Data Using Summary Statistics Valen Johnson, Texas A&M University
11:00 AM Bayesian Partition Logistic Regression Models Jun Liu, Harvard University
11:25 AM High-Dimensional Linear Regression via the R-Squared Induced Dirichlet Decomposition Prior Howard Bondell, NC State University ; Brian Reich, NCSU ; Yan Dora Zhang, Johns Hopkins
11:50 AM Nonparametric Maximum Likelihood Approximate Message Passing — Lee Dicker, Rutgers University ; Ruijun Ma, Rutgers University
12:15 PM Floor Discussion
 
 

478
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-330
Online Machine Learning for Prediction and Sequential Decision Making — Invited Papers
IMS , Association for the Advancement of Artificial Intelligence , Institute for Operations Research and the Management Sciences , Section on Statistical Learning and Data Science
Organizer(s): Susan A Murphy, University of Michigan
Chair(s): Susan A Murphy, University of Michigan
10:35 AM A New Approach to Online Prediction Alexander Rakhlin, University of Pennsylvania
11:00 AM Online Decision-Making with High-Dimensional Covariates — Hamsa Bastani, Stanford University ; Mohsen Bayati, Stanford University
11:25 AM Regret Bounds for Adaptive Control of Linear Quadratic Systems — Mohamad Kazem Shirani Faradonbeh, University of Michigan ; Ambuj Tewari, University of Michigan ; George Michailidis, University of Florida
11:50 AM Improved Strongly Adaptive Online Learning Using Coin Betting Rebecca Willett, University of Wisconsin-Madison ; Kwang-Sung Jun, University of Wisconsin-Madison ; Francesco Orabona, Stony Brook University ; Stephen Wright, University of Wisconsin-Madison
12:15 PM Floor Discussion
 
 

479 * !
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-338
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Nonparametric Statistics , IMS , Section on Statistics in Imaging , ENAR
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
10:35 AM JIVE Integration of Behavioral and fMRI Data — J. S. (Steve) Marron, University of North Carolina ; Benjamin Risk, SAMSI, Department of Biostatistics and Bioinformatics, Emory University ; Qunqun Yu, UNC - Statistics & OR
11:00 AM Exploratory and Data Visualization Methods for High-Dimensional Brain Signals Hernando Ombao, KAUST and UC Irvine ; Yuxiao Wang, University of California, Irvine ; Chee-Ming Ting, KAUST
11:25 AM Am I My Connectome? Fingerprinting with Repeated Resting State Functional MRI Data Brian Scott Caffo, Johns Hopkins ; Zeyi Wang, Johns Hopkins ; Ciprian M Crainiceanu, Johns Hopkins University ; Martin Lindquist, Johns Hopkins University ; Jim Pekar, Johns Hopkins ; Joshua Vogelstein, Johns Hopkins ; Haris Sair, Johns Hopkins
11:50 AM Statistical Analysis of Registration and Registered Imaging Data John AD Aston, University of Cambridge ; Eardi Lila, University of Cambridge
12:15 PM Floor Discussion
 
 

486
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-Ballroom I
Wald Lecture II — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): Judith N. Rousseau, Université Paris Dauphine
10:35 AM What's Happening in Selective Inference II? Emmanuel J. Candes, Stanford University
12:15 PM Floor Discussion
 
 

487 *
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-326
Design and Analysis of Computer Experiments for Complex Systems — Invited Papers
Section on Physical and Engineering Sciences , Section on Statistical Computing , IMS
Organizer(s): Ying Hung
Chair(s): Ying Hung
10:35 AM Replication or exploration? Sequential design for stochastic simulation experiments. Robert Gramacy, Virginia Tech Department of Statistics ; Bickael Binois, The University of Chicago ; Mike Ludkovski, University of California, Santa Barbara
11:00 AM Analysis of dimension reduction in Gaussian process regression Minyong Lee, Stanford University ; Art Owen, Stanford University
11:25 AM Stabilizing Gradient Enhanced Emulators with Sparsity Constraints Peter Qian, University of Wisconsin-Madison ; Jared Huling, University of Wisconsin-Madison
11:50 AM Sequential learning of deformation models in additive manufacturing through calibration of simulation models Tirthankar Dasgupta, Rutgers University ; Ying Hung
12:15 PM Floor Discussion
 
 

510
Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-322
New Developments in Time Series Analysis and Change Point Detection — Contributed Papers
IMS
Chair(s): Katherine Thompson, University of Kentucky
10:35 AM Implicit Multi-Layer Network for Time Series Data Brandon Park ; Anand N. Vidyashankar, George Mason University ; Tucker McElroy, U. S. Census Bureau
10:50 AM A Time Series Model for Boolean Random Sets Khalil Shafie, University of Northern Colorado ; Mostafa Zahed, University of Northern Colorado
11:05 AM Change Point Estimation in a Dynamic Stochastic Block Model Monika Bhattacharjee, Informatics Institute, University of Florida ; George Michailidis, University of Florida ; Moulinath Banerjee, University of Michigan
11:20 AM Post-Selection Inference for Segmentation Methods in Changepoint Detection Sangwon Hyun, Carnegie Mellon University ; Kevin Lin, Carnegie Mellon University, Statistics Department ; Max G'sell, Carnegie Mellon University ; Ryan Tibshirani, Carnegie Mellon University
11:35 AM Detecting Discontinuities in a Regression Curve Cidambi Srinivasan, University of Kentucky ; Sisheng Liu, University of Kentucky ; Richard Charnigo, University of Kentucky
11:50 AM Fitting a Stochastic Differential Equation Model to Eye Tracking Data Yunlong Nie, Simon Fraser University
12:05 PM Estimation of GARCH Process by Empirical Likelihood Kenichiro Tamaki, Waseda University
 
 

553 !
Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-331/332
Bayesian Nonparametrics — Invited Papers
IMS
Organizer(s): Judith N. Rousseau, Université Paris Dauphine
Chair(s): Judith N. Rousseau, Université Paris Dauphine
2:05 PM Application of Sparse Exchangeable Graphs to Infinite Latent Feature Modeling Zacharie Naulet, University of Toronto
2:35 PM Bayesian Quantile Regression via Restricted Likelihood Steven MacEachern, The Ohio State University
3:05 PM Singularity Structure of Parameter Space and Posterior Contraction in Finite Mixture Models — Long Nguyen, University of Michigan ; Nhat Ho, University of Michigan
3:35 PM Floor Discussion
 
 

560
Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-Ballroom I
Annals of Statistics Special Invited Session: Selected Papers — Invited Papers
IMS
Organizer(s): Edward I. George, Wharton, University of Pennsylvania
Chair(s): Edward I. George, Wharton, University of Pennsylvania
2:05 PM Higher Order Influence Functions and Minimax Estimation of Nonlinear Functionals James Robins, Harvard University ; Aad van der Vaart, Universiteit Leiden ; Eric Tchetgen Tchetgen, Harvard University ; lingling li, sanofi genzyme ; rajarshi mukherjee, stanford
2:30 PM Minimax Rates of Community Detection in Stochastic Block Models Harrison H. Zhou, Yale University ; Anderson Zhang, Yale University
2:55 PM Global Rates of Convergence in Log-Concave Density Estimation Richard J. Samworth, Statistical Laboratory, University of Cambridge ; Arlene Kyoung Hee Kim, Sungshin Women's University
3:20 PM A New Perspective on Boosting in Linear Regression via Modern Optimization Rahul Mazumder, Massachusetts Institute of Technology ; Robert Freund, Massachusetts Institute of Technology ; Paul Grigas, University of California, Berkeley
3:45 PM Floor Discussion
 
 

569 !
Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-330
Recent Advances in Predictive Inference — Topic Contributed Papers
IMS
Organizer(s): Gourab Mukherjee, University of Southern California
Chair(s): Pingshou Zhong, Michigan State University
2:05 PM Predictive Density Estimation for Multivariate Normal and Spherically Symmetric Densities Eric Marchand, Universite De Sherbrooke
2:25 PM On Sparse Bayes Predictive Density Estimates Gourab Mukherjee, University of Southern California
2:45 PM Harmonic Bayesian Prediction Under Alpha-Divergence Yuzo Maruyama, The University of Tokyo
3:05 PM Shrinkage Priors for Poisson-Based Models and Their Applications Fumiyasu Komaki, The University of Tokyo
3:25 PM Predictive Inference for Regression Maxwell Grazier G'Sell, Carnegie Mellon University
3:45 PM Floor Discussion
 
 

591
Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-309
On Shape-Constrained Estimation and Inference — Invited Papers
IMS , Section on Nonparametric Statistics
Organizer(s): Bodhisattva Sen, Columbia University
Chair(s): Adityanand Guntuboyina, UC Berkeley
8:35 AM Estimation of a Convex Density Support Using Contaminated Data Victor-Emmanuel Brunel, MIT
9:05 AM Efficient Estimation in Convex Single Index Models Rohit Patra, University of Florida
9:35 AM Isotonic Regression in general dimensions Sabyasachi Chatterjee, University of Chicago
10:05 AM Discussant: Bodhisattva Sen, Columbia University
 
 

598
Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-310
Wald Lecture III — Invited Papers
IMS
Organizer(s): Tony Cai, University of Pennsylvania
Chair(s): Eric Kolaczyk, Boston University
8:35 AM What's Happening in Selective Inference III? Emmanuel J. Candes, Stanford University
10:15 AM Floor Discussion
 
 

612 * !
Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-306
New Challenges in High-Dimensional Statistical Inference — Topic Contributed Papers
IMS , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Organizer(s): Lingzhou Xue, The Pennsylvania State University
Chair(s): Zheng Ke, University of Chicago
8:35 AM Optimal Estimation of Co-Heritability in High-Dimensional Linear Models Zijian Guo, University of Pennsylvania, Wharton School ; Wangjie Wang , National University of Singapore ; Tony Cai, University of Pennsylvania ; Hongzhe Li, University of Pennsylvania
8:55 AM Some New Insights in High-Dimensional Independence Tests Danning Li, Jilin University
9:15 AM Pairwise Difference Estimation of High Dimensional Partially Linear Model Fang Han, University of Washington ; Zhao Ren, University of Pittsburg ; Yuxin Zhu, Johns Hopkins University
9:35 AM Homogeneity Test of Covariance Matrices with High-Dimensional Longitudinal Data Pingshou Zhong, Michigan State University ; Runze Li, The Pennsylvania State University
9:55 AM Floor Discussion
 
 

622
Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-304
Probability Distribution Theory and Their Applications — Contributed Papers
IMS
Chair(s): Wenguang Sun, University of Southern California
8:35 AM Parameter Inference for a Three-Parameter Generalized Birnbaum- Saunders Distribution Naijun Sha, University of Texas At El Paso
8:50 AM Two Multivariate Generalized Beta Families James McDonald, Brigham Young University
9:05 AM On an Efficient Estimator of Exponential Parameter and Its Distributional Fit Tanweer Shapla, Eastern Michigan University ; Khairul Islam, Eastern Michigan University
9:20 AM Skew-Normal Approximation to the Hypergeometric Distribution Jose Sanqui, Appalachian State University ; Dong Won Jung, Appalachian State University
9:35 AM A Bivariate Asymmetric Laplace Distribution Matthew Arvanitis
9:50 AM Some Inferences on Loglogistic Distribution Mohammad Ahsanullah, Rider University
10:05 AM Floor Discussion
 
 

631
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-308
Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics — Invited Papers
Section on Nonparametric Statistics , IMS , International Chinese Statistical Association
Organizer(s): Xiaofeng Shao, University of Illinois, At Urbana-Champaign
Chair(s): Xiaofeng Shao, University of Illinois, At Urbana-Champaign
10:35 AM Applications of Distance Correlation to Time Series Richard A. Davis, Columbia University ; Muneya Matsui, Nanzan University ; Thomas Mikosch, University of Copenhagen ; Phyllis Wan, Columbia University
11:00 AM Why Classical Measures of Dependence Do Not Satisfy Their Natural Axioms? Gabor J Szekely, National Science Foundation
11:25 AM Conditional Mean and Quantile Dependence Testing in High Dimension Xianyang Zhang, Texas A&M University ; Shun Yao, University of Illinois at Urbana-Champaign ; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
11:50 AM A New Class of Measures for Testing Independence Xiangrong Yin, University of Kentucky ; Qingcong Yuan, University of Kentucky
12:15 PM Floor Discussion
 
 

637 * !
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-303
Non-Standard Regression Models — Invited Papers
IMS , Section on Nonparametric Statistics
Organizer(s): Piet Groeneboom, Delft University of Technology
Chair(s): Piet Groeneboom, Delft University of Technology
10:35 AM On Estimation of Regression Parameters with Current Status Data Kim Hendrickx, Hasselt University ; Piet Groeneboom, Delft University of Technology
10:55 AM Super-Efficiency with the Divide and Conquer Method Moulinath Banerjee, University of Michigan ; Cecile Durot, University of Paris Ouest ; Bodhisattva Sen, Columbia University
11:15 AM Least Squares Estimation in the Monotone Single Index Model Fadoua Balabdaoui, Seminar fuer Statistik, ETH
11:35 AM Spatial Adaptivity in Trend Filtering Bodhisattva Sen, Columbia University
11:55 AM Global error of smooth estimators for a monotone baseline hazard in the Cox model Rik Lopuhaa, Delft University of Technology ; Eni Musta, Delft University of Technology
12:15 PM Floor Discussion
 
 

639 * !
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-314
Influential Observations: Detection and Modeling — Invited Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , IMS
Organizer(s): Mario Peruggia, The Ohio State University
Chair(s): Mario Peruggia, The Ohio State University
10:35 AM Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models Zachary Micah Thomas, Eli Lilly and Company ; Mario Peruggia, The Ohio State University ; Steven MacEachern, The Ohio State University
11:00 AM Residuals and Influence in Bayesian Ensemble Models Robert McCulloch, Arizona State University ; Matthew Pratola, The Ohio State University
11:25 AM Empirical Bayes Model Averaging with Influential Observations Christopher Hans, The Ohio State University ; Mario Peruggia, The Ohio State University ; Junyan Wang, The Ohio State University
11:50 AM Discussant: Dennis Cook, University of Minnesota
12:10 PM Floor Discussion
 
 

641 * !
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-309
Foundations of Network Analysis — Invited Papers
IMS , Royal Statistical Society , ENAR
Organizer(s): Walter Dempsey, University of Michigan
Chair(s): Chao Gao, University of Chicago
10:35 AM Network Sparsity and Subsequent Inference Joshua Cape, Johns Hopkins University ; Minh Tang, Johns Hopkins University ; Carey E Priebe, Johns Hopkins University
11:05 AM Challenges in Network Sampling: Open Problems and Some Progress Eric Kolaczyk, Boston University
11:35 AM Accounting for the Sampling Scheme in Network Modeling Harry Crane, Rutgers University ; Walter Dempsey, University of Michigan
12:05 PM Floor Discussion
 
 

644 !
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-318
Advancing Statistics in Universities: Deans' Viewpoints — Invited Panel
ASA Caucus of Academic Representatives , IMS
Organizer(s): Allan R Sampson, University of Pittsburgh
Chair(s): Allan R Sampson, University of Pittsburgh
10:35 AM Advancing Statistics in Universities: Deans' Viewpoints
Panelists: H. Joeseph Newton, Texas A&M Universtiy
Montserrat Fuentes, Virginia Commonwealth University
Rebecca Doerge, Carnegie-Mellon University
Sally Morton, Virginia Tech
Sastry Pantula, Oregon State University College of Science
12:10 PM Floor Discussion
 
 

663
Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-304
New Developments in Modern Statistical Estimation Theory — Contributed Papers
IMS
Chair(s): Wenguang Sun, University of Southern California
10:35 AM Estimation and Inference of Bounded Normal Mean Yong Seok Park ; Jeremy M. G. Taylor, University of Michigan
10:50 AM James-Stein Type Optimal Weight Choice for Frequentist Model Average Estimator LIN YAO, SUNY Binghamton ; Ganggang Xu, Binghamton University ; Xingye Qiao, Binghamton University
11:05 AM Multistage Estimation of a Negative Exponential Location with Applications in Health Studies Sudeep R. Bapat, University of Connecticut ; Nitis Mukhopadhyay, University of Connecticut
11:20 AM Endpoint Estimation for Observations with Normal Measurement Errors Chen Zhou, De Nederlandsche Bank ; Liang Peng, Georgia State University ; Leng Xuan, Erasmus University Rotterdam ; Xing Wang, Georgia State University
11:35 AM Efficient Asymptotic Variance Reduction When Estimating Volatility in High Frequency Data Yoann Potiron, Keio University Faculty of Business and Commerce ; Simon Clinet, The University of Tokyo
11:50 AM Adaptation in Log-Concave Density Estimation Arlene Kyoung Hee Kim, Sungshin Women's University ; Adityanand Guntuboyina, UC Berkeley ; Richard J. Samworth, Statistical Laboratory, University of Cambridge
12:05 PM Joint Asymptotics for Estimating the Fractal Indices of Bivariate Gaussian Processes Yuzhen Zhou, University of Nebraska-Lincoln ; Yimin Xiao, Michigan State University
 
 
 
 
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