Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Activity Details

5 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-East 19
Strategic Planning and Vision Building for the Statistics Profession: Are Existing Databases Underutilized? — Invited Papers
Social Statistics Section, IMS, Conference Board of the Mathematical Sciences, SSC, Caucus for Women in Statistics
Organizer(s): Amanda L. Golbeck, University of Arkansas for Medical Sciences
Chair(s): Roy E. Welsch, Massachusetts Institute of Technology
2:05 PM	Seeing the Big Picture in, and Having More Influence on, the Statistics Profession from Your Vantage Point Presentation Amanda L. Golbeck, University of Arkansas for Medical Sciences
2:30 PM	Leading Toward Evidence-Based Educational Improvement Using the CBMS Survey Presentation Ellen E. Kirkman, Wake Forest University
2:55 PM	Stats on Stats: Statistical Sciences in the Annual Survey of the Mathematical Sciences Presentation Thomas Harold Barr, American Mathematical Society
3:20 PM	Discussant: Sally C. Morton, Virginia Tech
3:45 PM	Floor Discussion

15	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 109
Medallion Lecture I — Invited Papers
IMS
Organizer(s): Sayan Mukherjee, Duke University
Chair(s): Dan Cooley, Colorado State University
2:05 PM	Statistical Inference for Complex Extreme Events Anthony Davison, Ecole Polytechnique Fédérale de Lausanne (EPFL)
3:45 PM	Floor Discussion

34	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 112
Linear Models for Large or Complex Data — Contributed Papers
IMS
Chair(s): Zhou Fan, Stanford University
2:05 PM	Parameter Subset Selection for Mixed-Effects Models Presentation Kathleen Schmidt, Lawrence Livermore National Laboratory; Ralph C. Smith, North Carolina State University; Jason Bernstein, Lawrence Livermore National Laboratory; Ana Kupresanin, Lawrence Livermore National Laboratory
2:20 PM	Regression-Adjusted Estimators in Randomized Experiments with a Diverging Number of Predictors Lihua Lei, UC Berkeley; Peng Ding, UC Berkeley
2:35 PM	BLMM: Linear Mixed Effects Model for Big Data Using Partial EM Procedure Presentation Jang Ik Cho, Case Western Reserve University; Jiayang Sun, Case Western Reserve University
2:50 PM	Significance Testing in Non-Sparse High-Dimensional Linear Models Presentation Yinchu Zhu, University of Oregon; Jelena Bradic, UC San Diego
3:05 PM	Debiasing the Debiased Lasso with Bootstrap Sai Li, Rutgers University
3:20 PM	Asymptotic Behavior of the Alpha-Risk Minimizing Portfolio in High-Dimensional Setting Hiroyuki Taniai, Waseda University
3:35 PM	Floor Discussion

48 *	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 109
Longitudinal Modeling and Experimental Design for Investigating Host Associated Microbiota — Invited Papers
IMS, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Justin D Silverman, Duke University
Chair(s): Sayan Mukherjee, Duke University
4:05 PM	Nonparametric Analyses of Longitudinal Perturbation Data from the Human Microbiome Presentation Susan Holmes, Statistics
4:25 PM	A Microbial Interdependence Association Test in Longitudinal Study Presentation Huilin Li, New York University; Yilong Zhang, Merck Research Laboratories; Sung Won Han, Korea University; Laura Cox, Brigham and Women's Hospital and Harvard Medical School
4:45 PM	Predictive and Interpretable Bayesian Machine Learning Models for Understanding Microbiome Dynamics Presentation Georg Kurt Gerber, Harvard Medical School / Brigham and Women's Hospital
5:05 PM	Quantifying and Controlling for Sources of Technical Variation and Bias in Longitudinal Microbiome Surveys Justin D Silverman, Duke University; Heather Durand, Duke University; Sayan Mukherjee, Duke University; Lawrence A David, Duke University
5:25 PM	Incorporating Host Genomics Data and Microbial Network Inference Presentation Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:45 PM	Floor Discussion

106	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 222
Recent Trends in Inference from Dynamical Systems — Invited Papers
IMS, SSC
Organizer(s): Kevin McGoff, UNC Charlotte
Chair(s): Kevin McGoff, UNC Charlotte
8:35 AM	Variational Analysis of Empirical Risk Minimization Andrew B Nobel, University of North Carolina at Chapel Hill; Kevin McGoff, UNC Charlotte
9:05 AM	Learning from Dynamical Systems Presentation Ingo Steinwart, University of Stuttgart
9:35 AM	Multilevel Monte Carlo for Inference Kody Law, Oak Ridge National Laboratory
10:05 AM	Floor Discussion

146 !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 119
Statistical Physics, Information Theory, and Statistics — Invited Papers
IMS, IEEE Computer Society
Organizer(s): Guy Bresler, Massachusetts Institute of Technology (MIT)
Chair(s): Guy Bresler, Massachusetts Institute of Technology (MIT)
10:35 AM	EM Algorithm Achieves the Near-Optimal Rate for Two-Component Symmetric Gaussian Mixtures in $O(\Sqrt{N})$ Iterations Yihong Wu, Yale
11:00 AM	Additivity of Information in Multilayer Networks via Additive Gaussian Noise Transforms Galen Reeves, Duke University
11:25 AM	Exact Recovery in the Ising Blockmodel Quentin Berthet, University of Cambridge
11:50 AM	Covering Probability Simplex with Divergence Balls Yuri Polyanskiy, MIT
12:15 PM	Floor Discussion

149 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West Ballroom A
Theory Versus Practice — Invited Panel
General Methodology, IMS
Organizer(s): Ryan Tibshirani, Carnegie Mellon University
Chair(s): Ryan Tibshirani, Carnegie Mellon University
10:35 AM	Theory vs. Practice Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists:	Edward George, Wharton, University of Pennsylvania Trevor Hastie, Stanford University Elizaveta Levina, University of Michigan John Petkau, University of British Columbia Nancy Reid, University of Toronto Richard J Samworth, University of Cambridge Robert Tibshirani, Stanford University Larry Wasserman, Carnegie Mellon University Bin Yu, UC Berkeley
12:10 PM	Floor Discussion

158 !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 120
Algebraic Methods in Statistics — Topic Contributed Papers
IMS
Organizer(s): Elina Robeva, MIT
Chair(s): Jose Israel Rodriguez, University of Chicago
10:35 AM	Model Selection and Local Geometry Presentation Robin Evans
10:55 AM	Low Algebraic Dimension Matrix Completion Presentation Rebecca Willett, Univ of Wisconsin; Greg Ongie, University of Michigan; Daniel Pimentel-Alarcon, Georgia State University; Laura Balzano, University of Michigan; Robert Nowak, University of Wisconsin
11:15 AM	Your Dreams May Come True with MTP2 Presentation Caroline Uhler, Massachusetts Institute of Technology
11:35 AM	Totally Positive Exponential Families, Graphical Models, and Convex Optimization Presentation Piotr Zwiernik, Universitat Pompeu Fabra
11:55 AM	Discussant: Seth Sullivant, North Carolina State University
12:15 PM	Floor Discussion

170	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 116
Theory and Methods for High-Dimensional Data — Contributed Papers
IMS
Chair(s): Max G'Sell, Carnegie Mellon University
10:35 AM	Modern Maximum Likelihood Theory for High-Dimensional Logistic Regression Presentation Pragya Sur, Stanford University; Emmanuel Candes, Stanford University; Yuxin Chen, Princeton University
10:50 AM	Bootstrapping Maxima of High-Dimensional Random Vectors with Variance Decay Presentation Miles Lopes, University of California, Davis; Hans Mueller, UC Davis; Zhenhua Lin, University of Toronto
11:05 AM	Supervised Clustering via an Implicit Network for High-Dimensional Data Presentation Brandon Park; Anand N Vidyashankar, George Mason University; Tucker S McElroy, U.S. Census Bureau
11:20 AM	Asymptotic Independent U-Statistics in High-Dimensional Adaptive Testing Presentation Yinqiu He, University of Michigan; Gongjun Xu, University of Michigan; Chong Wu, University of Minnesota; Wei Pan, University of Minnesota
11:35 AM	Improved Shrinkage Prediction Under a Spiked Covariance Structure Presentation Trambak Banerjee; Gourab Mukherjee, University of Southern California; Debashis Paul, UC Davis
11:50 AM	A Concentration Inequality for Large Autocovariance Matrices Presentation Yicheng Li, University of Washington; Fang Han, University of Washington
12:05 PM	Floor Discussion

183	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West Hall B
Contributed Poster Presentations: IMS — Contributed Poster Presentations
IMS
Chair(s): Paul McNicholas, McMaster University
11:	First Order Asymptotic Variance of a Leader Election Algorithm Simon Langowski, Purdue University; Mark Daniel Ward, Purdue University
12:	Asymptotic Properties of Adaptive Group Lasso in High-Dimensional Generalized Additive Model with a Diverging Number of Parameters and Consistent Tuning Parameter Selection Kaixu Yang; Jun Liu, Michigan State University
13:	Honest Confidence Sets for High-Dimensional Linear Regression by Projection and Shrinkage Kun Zhou, University of California, Los Angeles; Qing Zhou, UCLA

216528	Mon, 7/30/2018, 12:30 PM - 2:00 PM	F-Princess Louisa Suite
Annals of Statistics Editors Meeting — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS

215 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 224
Non- and Semiparametric Methods to Accommodate Dependency and Heterogeneity in Complex Data — Invited Papers
Section on Nonparametric Statistics, IMS, Lifetime Data Analysis Interest Group, SSC
Organizer(s): Naisyin Wang, U of Michigan
Chair(s): Gongjun Xu, University of Michigan
2:05 PM	Nonparametric Bayesian Priors for Hidden Markov Random Fields Florence Forbes, INRIA; Hongliang Lu, INRIA; Julyan Arbel, INRIA
2:30 PM	Nonparametric Modeling of Longitudinal Compositional Data as Trajectories on the Sphere Hans Mueller, UC Davis; Xiongtao G Dai, University of California, Davis
2:55 PM	Goodness-of-Fit Tests in Proportional Hazards Models with Random Effects Presentation Ingrid Van Keilegom, KU Leuven; Wenceslao Gonzalez Manteiga, University of Santiago de Compostela; Maria Dolores Martinez Miranda, University of Granada
3:20 PM	Discussant: Naisyin Wang, U of Michigan
3:45 PM	Floor Discussion

223	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 306
Annals of Applied Statistics (AOAS) Lecture — Invited Papers
IMS
Organizer(s): Tilmann Gneiting, Heidelberg Institute for Theoretical Studies
Chair(s): Karen Kafadar, University of Virginia
2:05 PM	Statistical Paradises and Paradoxes in Big Data (I): Law of Large Populations, Big Data Paradox, and the 2016 US Presidential Election Xiao-Li Meng, Harvard University
2:35 PM	On the Use of Bootstrap with Variational Inference Elena A Erosheva, University of Washington ; Yen-Chi Chen, University of Washington; Y. Samuel Wang, University of Washington
3:05 PM	Clustering the Prevalence of Pediatric Chronic Conditions in the United States Using Distributed Computing Nicoleta Serban, Georgia Institute of Technology
3:35 PM	Floor Discussion

242	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 304/305
Multiple Testing and Feature Selection — Contributed Papers
IMS
Chair(s): Kean Ming Tan, University of Minnesota
2:05 PM	Further Improvements in Local FDR Based Grouped Hypotheses Testing Presentation Shinjini Nandi, Temple University; SANAT SARKAR, Temple University
2:20 PM	Visualising Model Stability Information for Better Prognosis Based Network-Type Feature Extraction Presentation Connor Smith, University of Sydney; Samuel Mueller, The University of Sydney; Boris Guennewig, University of Sydney
2:35 PM	Sequential Multiple Testing with Generalized Error Control: An Asymptotic Optimality Theory Yanglei Song, University of Illinois at Urbana-Champaign; Georgios Fellouris, University of Illinois at Urbana-Champaign
2:50 PM	Asymptotic Analysis of Large-Scale Multi-Relational Network Through Latent Variable Modeling Presentation Zhi Wang, Columbia University; Xueying Tang, Columbia University; Jingchen Liu, Columbia University
3:05 PM	Multiscale Scanning in Inverse Problems: Applications to Super-Resolution Microscopy Presentation Frank Werner, Max Planck Institute for Biophysical Chemistry; Axel Munk, University of Goettingen; Katharina Proksch, University of Goettingen
3:20 PM	Limit Theorems and Theoretical Properties of General Multiscale Scan Statistics Presentation Katharina Proksch, University of Goettingen; Frank Werner, Max Planck Institute for Biophysical Chemistry; Axel Munk, University of Goettingen
3:35 PM	Approximate L0-Penalized Estimation of Piecewise-Constant Signals on Graphs Presentation Zhou Fan, Stanford University; Leying Guan, Stanford University

216527	Tue, 7/31/2018, 7:30 AM - 9:00 AM	F-Burrard Suite
Statistics Surveys Editors Meeting — Other ICW
IMS
Organizer(s): Elyse Gustafson, IMS

273 * !	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 206/207
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Statistics in Imaging, ENAR, IMS, SSC
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
8:35 AM	Calculating a Generated Effect Modifier (GEM) for Treatment Selection Based on Imaging Data Presentation Todd Ogden, Columbia University; Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University
9:00 AM	Multimodal Neuroimaging Analysis Lexin Li, University of California at Berkeley
9:25 AM	Exact Spike Train Inference from Calcium Imaging Data via L0 Optimization Sean Jewell, University of Washington; Daniela Witten, University of Washington
9:50 AM	New Approaches Towards Translational Neuroimaging Martin A Lindquist, Johns Hopkins University
10:15 AM	Floor Discussion

275 !	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-East 9
Advances in Dependence Modeling Through Copulas — Invited Papers
SSC, IMS, Section on Risk Analysis
Organizer(s): Johanna G. Neslehova, McGill University
Chair(s): Johanna G. Neslehova, McGill University
8:35 AM	Visualizing Dependence in High Dimensions Presentation Marius Hofert, University of Waterloo; Wayne Oldford, University of Waterloo
9:00 AM	Bayesian Inference for Conditional Copulas Using Gaussian Process Single Index Models Presentation Radu V Craiu, University of Toronto; Evgeny Levi, University of Toronto
9:25 AM	Conditional Normal Copulas and Their Use in Applications Pavel Krupskiy, University of British Columbia; Harry Joe, University of British Columbia; Marc G Genton, King Abdullah University of Science and Technology
9:50 AM	Semiparametric Inference for Copulas of Mixed Data Bruno Remillard, HEC Montreal; Christian Genest, McGill University; Johanna G. Neslehova, McGill University
10:15 AM	Floor Discussion

285 *	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 219
Advances in Dimension Reduction and Model Selection for Statistically Challenging Data — Topic Contributed Papers
IMS, Biometrics Section, ENAR, SSC
Organizer(s): Samuel Mueller, The University of Sydney
Chair(s): Samuel Mueller, The University of Sydney
8:35 AM	Spatial-Temporal Latent Variable Models: a Potential Waste of Space and Time? Presentation Francis Hui, Mathematical Sciences Institute
8:55 AM	Functional Censored Quantile Regression Presentation Fei Jiang, The University of Hong Kong
9:15 AM	Improved Selection of High-Dimensional Neuroimaging Biomarkers Associated with Neurodegenerative Disease Progression Tanya Garcia, Texas A&M University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
9:35 AM	Bayesian Regression for High-Dimensional Data Using a Prior on the Model Fit Howard D Bondell, University of Melbourne
9:55 AM	Discussant: Alan H Welsh, The Australian National University
10:15 AM	Floor Discussion

320 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 118
Practical and Realistic Variable Selection Methods — Invited Papers
IMS, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, SSC
Organizer(s): Linda Zhao, University of Pennsylvania
Chair(s): Sayan Mukherjee, Duke University
10:35 AM	Generalized CP and the Bootstrap for Variable Selection in Moderate or High-Dimensional Data Lawrence D Brown, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Linda Zhao, University of Pennsylvania
11:05 AM	Multidimensional Monotonicity Discovery with MBART Edward George, Wharton, University of Pennsylvania; Robert McCulloch, Arizona State University; Hugh Chipman, Acadia University; Tom Shively, University of Texas at Austin
11:35 AM	Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent Presentation Weijie Su, University of Pennsylvania; Yuancheng Zhu, University of Pennsylvania
12:05 PM	Floor Discussion

321 *	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 306
Detecting Structural Change in Complex Data — Invited Papers
International Chinese Statistical Association, WNAR, IMS
Organizer(s): Ning Hao, University of Arizona
Chair(s): Yue S Niu, University of Arizona
10:35 AM	The Screening and Ranking Algorithm for Change-Points Detection in Multiple Samples Presentation Heping Zhang, Yale University School of Public Health
11:00 AM	Penalized Versus Segmentation Methods in Changepoint Problems Presentation Ryan Tibshirani, Carnegie Mellon University; Sangwon Hyun, Carnegie Mellon University; Kevin Lin, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University
11:25 AM	Nonparametric Independence Testing via Mutual Information Presentation Thomas B. Berrett, University of Cambridge; Richard J Samworth, University of Cambridge
11:50 AM	A New Class of Change Point Test Statistics of Renyi Type Presentation Gregory Rice, University of Waterloo; Lajos Horvath, University of Utah
12:15 PM	Floor Discussion

345	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 117
Theory and Methods for Multivariate Analysis — Contributed Papers
IMS
Chair(s): Hao Helen Zhang, University of Arizona
10:35 AM	Distribution of Interpoint Distances for Discrete Multivariate Distributions Presentation Yu Song; Reza Modarres, The George Washington University
10:50 AM	A Unified Approach to Define Some Multivariate Distributions Presentation Khalil Shafie, University of Northern Colorado
11:05 AM	How to Select the Number of Components in PCA and Factor Analysis? Understanding and Improving Permutation Methods Presentation Edgar Dobriban; Art Owen, Stanford University
11:20 AM	Empirical Likelihood Based Covariance Matrix Estimation Presentation Sanjay Chaudhuri, National University of Singapore
11:35 AM	A Flexible Construction for Bivariate Copulas Emphasizing Local Dependence Presentation Xiaonan Zhu, New Mexico State University; Suttisak Wisadwongsa, Chiang Mai University; Tonghui Wang, New Mexico State University
11:50 AM	A Semiparametric Approach for Modeling Multivariate Nonlinear Time Series Presentation Seyed Yaser Samadi, Southern Illinois University, Carbondale
12:05 PM	A Conditional Test for Homogeneity of Several Order-Restricted Normal Mean Vectors Presentation Madhurima Majumder, Bayer Pharmaceuticals; Michael McDermott, University of Rochester Medical Center

381 !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 212
High-Dimensional Nonparametric Statistics — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, IMS, SSC
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lan Wang, University of Minnesota
2:05 PM	High-Dimensional Sign Tests for the Direction of a Skewed Single-Spiked Distribution Presentation Davy Paindaveine, Université libre de Bruxelles; Thomas Verdebout, Université libre de Bruxelles
2:30 PM	Robust Estimation, Efficiency, and Lasso Debiasing Presentation Po-Ling Loh, UW-Madison
3:20 PM	MASES: a Nonparametric Dimension Reduction Approach Hui Zou, University of Minnesota; Qing Mai, Florida State University; Xin Zhang, Florida State University
3:45 PM	Floor Discussion

387	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 213
Foundations of Data Science — Invited Papers
IMS, Section on Statistical Learning and Data Science, Royal Statistical Society, SSC
Organizer(s): Sofia C Olhede, University College London
Chair(s): Sofia C Olhede, University College London
2:05 PM	A Statistical View on Optimal Transport: Inference, Algorithms, Applications Axel Munk, University of Goettingen; Joern Schrieber, Department for Mathematics and Computer Science; Max Sommerfeld, Department for Mathematics and Computer Science; Carla Tameling, Department for Mathematics and Computer Science
2:30 PM	Large Numbers of Explanatory Variables Heather Battey, Imperial College London; David Cox, Nuffield College
2:55 PM	A Fast Algorithm with Minimax Optimal Guarantees for Topic Models with an Unknown Number of Topics Presentation Florentina Bunea, Cornell Univeristy
3:20 PM	Discussant: Patrick J Wolfe, Purdue University
3:45 PM	Floor Discussion

412	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 219
Theory and Methods for Change-Point and Abnormality Detection — Contributed Papers
IMS
Chair(s): Mengjie Chen, University of Chicago
2:05 PM	Change-Detection-Assisted Multiple Testing for Spatiotemporal Data Lilun Du, HKUST; Yunlong Wang, Nankai University; Changliang Zou, Nankai University; Zhaojun Wang, Nankai University
2:20 PM	Finite Sample Change Point Inference and Identification for Hig-Dimensional Mean Vectors Presentation Mengjia Yu, University of Illinois at Urbana-Champaign; Xiaohui Chen, University of Illinois at Urbana-Champaign
2:35 PM	Detecting Multiple Generalised Change-Points by Isolating Single Ones Andreas Anastasiou, London School of Econ. and Pol. Science; Piotr Fryzlewicz, London School of Economics
2:50 PM	Change-Point Estimation of Trend in High-Dimensional Time Series Presentation Monika Bhattacharjee , University of Florida; Moulinath Banerjee, University of Michigan; George Michailidis, University of Florida
3:05 PM	Outlier Detection in Non-Stationary Data Streams Presentation Priyanga Dilini Talagala, Monash University, Australia; Rob J Hyndman, Monash University; Kate Smith-Miles, University of Melbourne, Australia
3:20 PM	Change-Point Analysis Using Logarithmic Quantile Estimation Presentation Lucia Tabacu, Old Dominion University; Mark Ledbetter, Old Dominion University
3:35 PM	Post-Selection Inference for Changepoint Problems Presentation Sangwon Hyun, Carnegie Mellon University; Kevin Lin, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Ryan Tibshirani, Carnegie Mellon University

449 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-East 10
Recent Advances in Change-Point Detection and Segmentation — Invited Papers
Section on Nonparametric Statistics, IMS, ENAR
Organizer(s): Piotr Fryzlewicz, London School of Economics
Chair(s): Rebecca Killick, Lancaster University
8:35 AM	High-Dimensional Change Point Estimation via Sparse Projection Presentation Tengyao Wang, University of Cambridge; Richard J Samworth, University of Cambridge
8:55 AM	Exact Spike Train Inference via $\Ell_0$ Optimization Daniela Witten, University of Washington; Sean Jewell, University of Washington
9:15 AM	Finite Alphabet Blind Separation Merle Behr, University of Goettingen; Axel Munk, University of Goettingen; Chris Holmes, University of Oxford
9:35 AM	Making Change-Point Detection Data-Adaptive Presentation Piotr Fryzlewicz, London School of Economics
9:55 AM	Detection and Estimation of Local Signals David O Siegmund, Stanford University
10:15 AM	Floor Discussion

455 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-East 16
Recent Advances in Multiple Graph Inference — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
Organizer(s): Vince Lyzinski, University of Massachusetts Amherst; Daniel L Sussman, Boston University
Chair(s): Daniel L Sussman, Boston University
8:35 AM	Omnibus Embeddings for Mutliple Graph Inference Presentation Avanti Athreya, Johns Hopkins University; Keith Levin, University of Michigan; Minh Tang, Johns Hopkins University; Carey E Priebe, Johns Hopkins University; Vince Lyzinski, University of Massachusetts Amherst
9:00 AM	Graph Matching and Subsequent Inference in Errorfully Observed Network Data Vince Lyzinski, University of Massachusetts Amherst
9:25 AM	Scalable Bayes Inference on Big Dependent Networks Presentation David B Dunson, Duke University
9:50 AM	Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
10:15 AM	Floor Discussion

492 * !	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 222
Recent Advances in Modeling Complex Dependent Data — Invited Papers
Business and Economic Statistics Section, IMS, Society for Risk Analysis, SSC
Organizer(s): Scott H. Holan, University of Missouri/U.S. Census Bureau
Chair(s): Scott H. Holan, University of Missouri/U.S. Census Bureau
10:35 AM	Count Time Series Models Based on Expectation Thinning Operators Presentation Harry Joe, University of British Columbia
11:05 AM	Spatio-Temporal Modeling of Heavy-Tailed Data via Non-Gaussian Latent Processes Presentation Gabriel Huerta, University of New Mexico; Kellin Rumsey, University of New Mexico
11:35 AM	Hierarchical Models with Conditionally Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family Presentation Jonathan R Bradley, Florida State University; Scott H. Holan, University of Missouri/U.S. Census Bureau; Christopher K. Wikle, University of Missouri
12:05 PM	Floor Discussion

510 * !	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-East 16
Recent Development in the Assessment and Modeling of Asymmetric Dependence — Topic Contributed Papers
IMS
Organizer(s): Daeyoung Kim, University of Massachusetts Amherst; Zheng Wei, University of Maine
Chair(s): Shu-Min Liao, Amherst college
10:35 AM	Direction Dependence Modeling: a Diagnostic Framework to Test the Causal Direction of Effects in Linear Models Presentation Wolfgang Wiedermann, University of Missouri; Xintong Li, University of Missouri
10:55 AM	Analysis of Asymmetric Dependence in Contingency Tables: Subcopula-Based Regression Approach Presentation Daeyoung Kim, University of Massachusetts Amherst; Zheng Wei, University of Maine
11:15 AM	On Multivariate Asymmetric Dependence Using Multivariate Skew-Normal Copula-Based Regression Presentation Zheng Wei, University of Maine
11:35 AM	Comparisons on Measures of Asymmetric Associations Presentation Tonghui Wang, New Mexico State University; Xiaonan Zhu, New Mexico State University
11:55 AM	Floor Discussion

563 * !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 206/207
Mechanisms of Interference: New Strategies for Identification and Estimation — Invited Papers
Social Statistics Section, Statistics and Public Policy, IMS, SSC
Organizer(s): Forrest W Crawford, Yale School of Public Health; Fredrik Sävje, Yale University
Chair(s): Jasjeet Sekhon, UC Berkeley
2:05 PM	Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks Laura Forastiere, Yale; Edoardo M Airoldi , Harvard University
2:25 PM	Causal Inference Under Unmodeled and All-Encompassing Interference Presentation Fredrik Sävje, Yale University
2:45 PM	Exact Conditional Randomization Tests for Causal Effects Under Interference Presentation Panagiotis Toulis, University of Chicago; Avi Feller, UC Berkeley; Guillaume Basse, Harvard University
3:05 PM	Estimation of Contagion Effects in Households and Other Networks Forrest W Crawford, Yale School of Public Health; Wen Wei Loh, Ghent University
3:25 PM	Discussant: David Choi, Carnegie Mellon University
3:45 PM	Floor Discussion

564	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West Ballroom A
Medallion Lecture II — Invited Papers
IMS
Organizer(s): Sayan Mukherjee, Duke University
Chair(s): T. Tony Cai, The Wharton School, University of Pennsylvania
2:05 PM	Statistical Analysis of Large Tensors Ming Yuan, Columbia University
3:45 PM	Floor Discussion

566	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 215/216
Nonparametrics on Graphs — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, SSC
Organizer(s): Ryan Tibshirani, Carnegie Mellon University
Chair(s): Edward Kennedy, Carnegie Mellon University
2:05 PM	Signal Processing Over Graphs: Methods and Applications James Sharpnack, UC Davis
2:35 PM	Multiresolution Matrix Factorization for Inference on Graphs Risi Kondor, University of Chicago
3:05 PM	Fundamental Limits of Sampling Smooth Signals on Graphs Rohan A. Varma, Carnegie Mellon University; Aarti Singh, Carnegie Mellon University
3:35 PM	Floor Discussion

584	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 218
Advances in Semi- and Nonparametric Statistical Analysis — Contributed Papers
IMS, Section on Nonparametric Statistics
Chair(s): Zheng-Zheng Tang, University of Wisconsin-Madison
2:05 PM	Asymptotics and Optimal Bandwidth Selection for Nonparametric Estimation of Density Level Sets Presentation Wanli Qiao, George Mason University
2:20 PM	Generalized Semiparametric Approach to One-Way Analysis of Variance Presentation Chathurangi Pathiravsan, Southern Illinois University Carbondale; Bhaskar Bhattacharya, Southern Illinois University Carbondale
2:35 PM	Unified Estimation Methods for Unnormalized Models Using Auxiliary Distributions Presentation Masatoshi Uehara, Harvard Unversity; Xiao-Li Meng, Harvard University
2:50 PM	The Bootstrap in Extreme Value Theory Chen Zhou, De Nederlandsche Bank
3:05 PM	Nonparametric Empirical Bayes Tweedie's Estimator for Normal Means with Heteroscedastic Errors Presentation Luella Fu, USC Marshall School of Business; Gareth James, USC Marshall School of Business; Wenguang Sun, USC Marshall School of Business
3:20 PM	ESTIMATION of a MONOTONE DENSITY in S-SAMPLE BIASED SAMPLING MODELS Presentation Hok Kan Ling, Columbia University; Kwun Chuen Gary Chan, University of Washington; Tony Sit, The Chinese University of Hong Kong; Sheung Chi Phillip Yam, The Chinese University of Hong Kong
3:35 PM	Jackknife Empirical Likelihood for Time Series Data in Frequency Domain Kenichiro Tamaki, Waseda University

589 *	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 116
Topics in Data Mining, Forecasting, and Bayesian Inference for National Security — Contributed Papers
Section on Statistics in Defense and National Security, IMS
Chair(s): Kevin Cummiskey, United States Military Academy
2:05 PM	A Solution to the Forensic Identification of Source Problems Using Fiducial Inference Presentation Danica Ommen, Iowa State University; Jan Hannig, University of North Carolina; Jonathan Williams, University of North Carolina
2:20 PM	Context Modeling by Discriminative Random Fields for Robust Target Identification from Multi-Modal Sensors Presentation Pranab Banerjee, Boston Fusion Corp.
2:35 PM	Optimization of Decision Trees by Delaying the Split Decision Kyle Caudle, South Dakota School of Mines and Technology; Larry Pyeatt, South Dakota School of Mines and Technology; Christer Karlsson, South Dakota School of Mines and Technology; Randy Hoover, South Dakota School of Mines and Technology
2:50 PM	Text Mining Unstructured Data in the Electronic Medical Record Edwin D'Souza, Leidos; James Zouris, NHRC; Vern F Wing, Leidos
3:05 PM	Consistent Estimation of the Spectrum of Trace Class Data Augmentation Algorithms Saptarshi Chakraborty, University of Florida; Kshitij Khare, University of Florida
3:20 PM	A Classification Framework for Forecast Model Selection Presentation Thiyanga Talagala, Monash University; Rob J Hyndman, Monash University; George Athanasopoulos, Monash University
3:35 PM	Floor Discussion

602	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 222
Theory at the Intersection of Machine Learning and Statistics — Invited Papers
IMS, Mathematical Association of America, WNAR, SSC
Organizer(s): Andrew B Nobel, University of North Carolina at Chapel Hill
Chair(s): Andrew B Nobel, University of North Carolina at Chapel Hill
8:35 AM	Sequential Prediction, Martingale Tail Bounds and Automatic Machine Learning Karthik Sridharan, Cornell University
9:00 AM	Inference for Recursive Trees Presentation Nicolas Fraiman, University of North Carolina at Chapel Hill; Shankar Bhamidi, University of North Carolina at Chapel Hill; Andrew B Nobel, University of North Carolina at Chapel Hill; Ruituo Fan, University of North Carolina at Chapel Hill
9:25 AM	Statistical Properties of Deep Networks Presentation Peter Bartlett, UC Berkeley
9:50 AM	Subsampling and Symmetry in Networks Presentation Peter Orbanz, Columbia University
10:15 AM	Floor Discussion

609 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 301
Foundation or Backdrop? - the Role of Statisticians in Academic Data Science Initiatives — Invited Panel
Section on Statistical Learning and Data Science, IMS, International Statistical Institute, SSC
Organizer(s): Tian Zheng, Columbia University
Chair(s): Tyler McCormick, University of Washington
8:35 AM	Foundation or Backdrop? The Role of Statisticians in Academic Data Science Initiatives Presentation
Panelists:	Patrick J Wolfe, Purdue University Jennifer L Hill, New York University David Madigan, Columbia University Edoardo M Airoldi , Harvard University Tian Zheng, Columbia University
10:10 AM	Floor Discussion

611 !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 203
Nonparametric Priors for Exchangeable Data and Beyond — Topic Contributed Papers
Section on Bayesian Statistical Science, IMS, International Society for Bayesian Analysis (ISBA)
Organizer(s): Igor Pruenster, Bocconi University
Chair(s): Igor Pruenster, Bocconi University
8:35 AM	Epsilon-Approximations to the Pitman-Yor Process Presentation Pierpaolo De Blasi, University of Turin
8:55 AM	A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data Juhee Lee, UC Santa Cruz; Marilou Sison-Mangus, Unversity of California, Santa Cruz
9:15 AM	Bayesian Analysis of Multiple-Sample Data Antonio Lijoi, Bocconi University
9:35 AM	On Some Applications of Sums of Exchangeable Random Variables Ramses Mena, Universidad Nacional Autonoma De Mexico
9:55 AM	Global Mean-Field Variational Bayes for Density Regression Presentation Tommaso Rigon, Bocconi University; Daniele Durante, Bocconi University
10:15 AM	Floor Discussion

627	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 221
Advances in Stochastics and Distribution Theory — Contributed Papers
IMS
Chair(s): Colin Rundel, Duke University
8:35 AM	Predictive Distribution of Anticipative Alpha-Stable Markov Processes Sebastian Fries, Paris-Saclay University, Faculty of Mathematics & CREST
8:50 AM	Generalized Score Matching for Non-Negative Data Presentation Shiqing Yu, University of Washington; Mathias Drton, University of Washington; Ali Shojaie, University of Washington
9:05 AM	Efficient Estimation for Jump-Diffusions Nina Munkholt Jakobsen, Technical University of Denmark; Michael Sørensen, University of Copenhagen
9:20 AM	A Quantile-Based Asymmetric Family of Distributions: Inference Presentation Anneleen Verhasselt, Hasselt University; Karim Rezaul, Hasselt University and KU Leuven; Irene Gijbels, KU Leuven
9:35 AM	Partial Identifiability of Restricted Latent Class Models Yuqi Gu, University of Michigan; Gongjun Xu, University of Michigan
9:50 AM	A Sequential Probability Ratio Test for Higher Criticism Wenhua Jiang, Fudan University; Cun-Hui Zhang, Rutgers University
10:05 AM	Floor Discussion

645	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 217
Recent Developments in Score Matching with Big-Data Applications — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
Organizer(s): Mladen Kolar, University of Chicago Booth School of Business
Chair(s): Mladen Kolar, University of Chicago Booth School of Business
10:35 AM	The Beauty of Score Matching Estimators for Distributions on Manifolds with Some Cutting-Edge Applications KANTI V MARDIA, UNIVERSITY OF LEEDS
11:00 AM	Scoring Rules for Probabilistic Binary Classification Presentation Matthew Parry, University of Otago
11:25 AM	Efficient and Principled Score Estimation Presentation Arthur Gretton, UCL
12:15 PM	Floor Discussion

667 *	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 218
Statistics, Science, and Society — Contributed Papers
IMS
Chair(s): Ji-Ping Wang, Northwestern University
10:35 AM	Branching Processes in Generalized Autoregressive Conditional Environments with Applications to Virus Outbreaks Presentation Irene Hueter, Columbia University
10:50 AM	Simulation of Rainwater Harvesting and Demand-Side Water Conservation for Hospitals Lawrence Fulton, Texas State University; Lana Ivanitskaya, Central Michigan University; Dmitry A. Erofeev, Central Michigan University
11:05 AM	Methods for Automatic Groove Identification in 3D Bullet Land Scans Presentation Kiegan Rice; Heike Hofmann, Iowa State University; Ulrike Genschel, Iowa State University
11:20 AM	A Modified Two-Stage Approach to the Interpretation of Forensic Evidence Presentation Cami M. Fuglsby, South Dakota State University; Christopher P. Saunders, South Dakota State University; Danica Ommen, Iowa State University; JoAnn Buscaglia, FBI Laboratory, Counterterrorism & Forensic Science Research Unit
11:35 AM	Classification of Healthcare Data: When Scarcity of Labeled Data Is the Norm Semi-Supervised Learning Methods Can Come to the Rescue Didem Egemen, The George Washington University; Paulo Macedo, Integrity Management Services Inc.; Sewit Araia, Integrity Management Services Inc.
11:50 AM	Online Non-Negative Tensor Decomposition with Application to Kidney Paired Donation Presentation Mathieu Bray, University of Michigan; Peter X.-K. Song, University of Michigan
12:05 PM	A Model-Centric Approach to Scientific Progress and Understanding Reproducibility of Scientific Claims Erkan Buzbas, University of Idaho; Berna Devezer, University of Idaho; Bert Baumgaertner, University of Idaho; Luis Gustavo Nardin, Brandenburg University of Technology Cottbus - Senftenberg

JSM 2018 Online Program

Activity Details

American Statistical Association