Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

Online Program Home
My Program

All Times EDT

Legend:
* = applied session ! = JSM meeting theme

Activity Details

8 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Statistical Learning for High-Dimensional and Heterogeneous Complex Data — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, Journal on Statistical Analysis and Data Mining, Section on Statistical Computing
Organizer(s): Ji Zhu, University of Michigan
Chair(s): Omid Shams Solari, UC Berkeley
10:05 AM	Heterogeneous Mediation Analysis for Causal Inference Fei Xue, University of Pennsylvania; Xiwei Tang, University of Virgina; Annie Qu, University of Illinois at Urbana-Champaign
10:25 AM	L-zero regularization in the causal mediation analysis Peter X.K. Song, University of Michigan; Wen Wang, University of Michigan
10:45 AM	Large matrix estimation for time series data Hai Shu, New York University; Bin Nan, University of California, Irvine
11:05 AM	High-dimensional factor regression for heterogeneous subpopulations Peiyao Wang, University of North Carolina at Chapel Hill; Quefeng Li, UNC Chapel Hill; Yufeng Liu, University of North Carolina at Chapel Hill; Dinggang Shen, University of North Carolina at Chapel Hill
11:25 AM	Correlation Tensor Decomposition and Its Application in Spatial Imaging Data Yujia Deng, University of Illinois, Urbana-Champaign; Xiwei Tang, University of Virgina; Annie Qu, University of California Irvine
11:45 AM	Floor Discussion

12 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Frontiers of Statistical Computing in Modern Science — Invited Papers
Section on Statistical Computing
Organizer(s): Martin Lysy, University of Waterloo
Chair(s): Martin Lysy, University of Waterloo
10:05 AM	Sampling and Ranking Protein Structures with Application to Antibody-Antigen Prediction Samuel W.K. Wong, University of Waterloo
10:35 AM	Data Science on Blockchains Cuneyt Gurcan Akcora, University of Manitoba
11:05 AM	Applying statistical methods to climate reconstructions: Late 19th-century navigational errors and their influence on sea surface temperatures Duo Chan, Harvard University; Chenguang Dai, Harvard University; Peter Huybers, Harvard University; Natesh Pillai, Harvard university
11:35 AM	Floor Discussion

67	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Section on Statistical Computing: Data Science — Contributed Papers
Section on Statistical Computing, Text Analysis Interest Group
Chair(s): Samuel W.K. Wong, University of Waterloo
	Evaluation Error Requirements for Generating Random Variates Using Dominated Rejection Algorithms Presentation Timothy Hall, PQI Consulting
	The Modified Directed Likelihood in High-Dimensions Presentation Yanbo Tang, University of Toronto; Nancy Reid, University of Toronto
	Defining Areas of Interest for Eye-Tracking Data: Implementing a Systematic Approach Presentation Joanna Coltrin, Utah State University; Eric McKinney, Utah State University; Breanna Studenka, Utah State University; Juergen Symanzik, Utah State University
	Tests of Equality of Equality of Several High-Dimensional Contingency Tables Silvia Sharna, Bowling Green State University; Mian Adnan, Bowling Green State University; Asif Shams Adnan, Dhaka, Bangladesh; Rahmatullah Imon, Ball State University
	Clinical Trials Data Sharing: Streamlined Process for Deidentification Amaanti Sridhar, RTI International; Marie Gantz, RTI International
	Positive Orthant Hyperspherical Distribution and Applications Jose Guardiola, Texas A&M University-Corpus Christi
	A Comparative History of Programing in Statistics and Data Science Ben Barnard, Wells Fargo; Gabriel Odom, Florida International University
	A Simple and Scalable Algorithm for Anomaly Identification with an Application in Credit Card Fraud Detection Cheng Peng, West Chester University of Pennsylvania

74	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Text Analysis in Machine Learning and Statistical Models — Contributed Papers
Section on Statistics in Defense and National Security, Text Analysis Interest Group, Section on Statistical Computing
Chair(s): Daniel Ries, Sandia National Laboratories
	Finding the Source of Grandma’s Chili: Investigative Text Mining Scott Wise, SAS Institute, Inc.
	Zero-Inflated Beta Distribution Applied to Word Frequency and Lexical Dispersion in Corpus Linguistics Brent Burch, Northern Arizona University; Jesse Egbert, Northern Arizona University
	Dynamically Evolving Transformer Models for Article Tagging for Biosurveillance Karl Pazdernik, Pacific Northwest National Laboratory; Samuel Dixon, Pacific Northwest National Laboratory; Daniel Farber, Pacific Northwest National Laboratory; Aaron Tuor, Pacific Northwest National Laboratory; Andrew Barker, Pacific Northwest National Laboratory; Elise Saxon, Pacific Northwest National Laboratory; Lauren Charles, Pacific Northwest National Laboratory
	Naive Dictionary on Musical Corpora: From Knowledge Representation to Pattern Recognition Qiuyi Wu, University of Rochester; Ernest Fokoue, Rochester Institute of Technology and SAMSI
	Uncovering Biases in Off-The-Shelf Natural Language Processing Tools Elizabeth Cary, Pacific Northwest National Laboratory; Lee Burke, Pacific Northwest National Laboratory; Madelyn Dunning, Pacific Northwest National Laboratory; Jill Brandenberger, Pacific Northwest National Laboratory; Michael Henry, Pacific Northwest National Laboratory; Karl Pazdernik, Pacific Northwest National Laboratory
	Detecting Pharmaceutical Innovations in Text-Based Data Using Machine Learning Devika Mahoney-Nair, University of Virginia; Gizem Korkmaz, University of Virginia; Gary Anderson, National Science Foundation; Neil Alexander, University of Virginia; Aaron Schroeder, University of Virginia; Sallie Ann Keller, Distinguished Professor in Biocomplexity, U of Virginia

93	Mon, 8/3/2020, 12:00 PM - 1:00 PM	Virtual
Section on Statistical Computing P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Section on Statistical Computing
ML09:	Building-Out the Bayesian Regression Tree Ecosystem Matthew Pratola, The Ohio State University

118 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in the Design and Analysis of Platform Trials — Topic Contributed Papers
Section on Statistical Graphics, Biopharmaceutical Section, Section on Statistical Computing
Organizer(s): Bo Huang, Pfizer Inc.
Chair(s): Enayet Talukder, Pfizer Inc.
1:05 PM	Basket Design Vs Umbrella Design for Exploratory Trials Cong Chen, Merck and Company, Inc.
1:25 PM	Finding a Balance of Synergy and Flexibility in Master Protocols Melanie Quintana, Berry Consultants
1:45 PM	RoBoT: A Robust Bayesian Hypothesis Testing Method for Basket Trials Yuan Ji, University of Chicago; Tianjian Zhou, University of Chicago
2:05 PM	Implementation of a Platform Trial in Early Development Dmitri Pavlov, Pfizer
2:25 PM	Discussant: Erik Bloomquist, FDA
2:45 PM	Floor Discussion

119 *	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Learning Applications for Autonomous Systems in Defense and National Security — Topic Contributed Papers
Section on Statistics in Defense and National Security, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Joseph D Warfield, Johns Hopkins University Applied Physics Laboratory
Chair(s): Justin T Newcomer, Sandia National Laboratories
1:05 PM	Tallis: A Statistical Approach for Dimension Reduction of Mixed-Type Variables Alexander Foss, Sandia National Laboratories
1:25 PM	Challenges in Test and Evaluation of AI-Enabled Systems in the DoD Jane Pinelis, DoD Joint Artificial Intelligence Center
1:45 PM	Multinomial Pattern Matching John Richards, Sandia National Laboratories
2:05 PM	Leveraging Machine Learning for Autonomy Testing and Evaluation Galen Mullins, Johns Hopkins University Applied Physics Laboratory
2:25 PM	Demystifying the Black Box: A Strategy for Testing AI-Enabled Systems Heather Wojton, Institute for Defense Analyses; Daniel Porter, Institute for Defense Analyses
2:45 PM	Floor Discussion

129 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Advances in Graph Inference and Network Analysis — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistics in Defense and National Security, Caucus for Women in Statistics, Section on Statistical Computing
Organizer(s): Joshua Cape, University of Michigan
Chair(s): Joshua Cape, University of Michigan
1:05 PM	Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace Jesus Arroyo; Avanti Athreya, Johns Hopkins University; Joshua Cape, University of Michigan; Guodong Chen, Johns Hopkins University; Carey Priebe, Johns Hopkins University; Joshua Vogelstein, Johns Hopkins University
1:25 PM	Network Community Detection Using Higher Order Interactions Xianshi Yu; Ji Zhu, University of Michigan
1:45 PM	Online Change Point Detection in Network Sequences Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
2:05 PM	Estimation and Inference in Latent Structure Random Graphs Avanti Athreya, Johns Hopkins University; Minh Tang, NC State University; Youngser Park, Johns Hopkins University; Carey Priebe, Johns Hopkins University
2:25 PM	Posterior Predictive Distributions in Network Inference Anna Smith, University of Kentucky; Tian Zheng, Columbia University
2:45 PM	Floor Discussion

220201	Mon, 8/3/2020, 6:30 PM - 8:00 PM	Virtual
Sections on Statistical Computing and Statistical Graphics Virtual Mixer — Other Cmte/Business
Section on Statistical Computing, Section on Statistical Graphics
Chair(s): John Castelloe, SAS
We'll share news from the world of statistical computing & graphics and look forward to hearing your comments and questions. All JSM attendees are welcome to join us on Zoom: https://us02web.zoom.us/j/81072427895

137 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
On Structural Changes — Invited Papers
Business and Economic Statistics Section, Section on Statistical Computing, Royal Statistical Society
Organizer(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
Chair(s): Jan Beran, University of Konstanz
10:05 AM	Change Point Detection of Growth Inflection to Confluence David S. Matteson, Cornell University
10:25 AM	Asymptotic Theory for Time Series with Changing Mean and Variance Liudas Giraitis, Queen Mary University of London; Violetta Dalla, National and Kapodistrian University of Athens; Peter M Robinson, London School of Economics
10:45 AM	Testing for Multiple Structural Breaks in Multivariate Long Memory Time Series Philipp Sibbertsen, Leibniz Universitaet Hannover; Kai Wenger, Leibniz University of Hannover; Simon Wingert, Leibniz University of Hannover
11:05 AM	On the Crossing of a Threshold Under Gaussian Subordination for Spatial Data Sucharita Ghosh, Swiss Federal Research Institute WSL
11:25 AM	Floor Discussion

145 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Statistics of Social Media — Invited Papers
Section on Statistical Computing, Social Statistics Section, Text Analysis Interest Group
Organizer(s): Juha Alho, University of Helsinki
Chair(s): Stanislav Kolenikov, Abt Associates
10:55 AM	What Authors Reveal of Themselves in Internet Discussions? Presentation Juha Alho, University of Helsinki
11:20 AM	Discussant: Frauke Kreuter, University of Maryland, University of Mannheim & IAB
11:40 AM	Floor Discussion

201	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Big Data and Statistical Learning — Contributed Papers
Section on Statistical Computing
Chair(s): Wenshuo Wang, Harvard University
	Statistical Inference of Massive Linear Mixed Models with Bag of Little Bootstraps (BLB) Xinkai Zhou, UCLA; Hua Zhou, University of California, Los Angeles
	Improved Two-Stage Model-Averaging for High-Dimensional Linear Regression Juming Pan, Rowan University
	Optimal Perturbation Bounds for Orthogonally Decomposable Tensors and Its Statistical Applications Arnab Auddy, Columbia University; Ming Yuan, Columbia University
	Backfitting for Large Scale Crossed Random Effects Regressions Swarnadip Ghosh, Stanford University; Art Owen, Stanford University; Trevor Hastie, Stanford University, Department of Statistics

202	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Monte Carlo Methods and Simulation I — Contributed Papers
Section on Statistical Computing
Chair(s): Matthias Schonlau, University of Waterloo
	Applications of Resampling-based Simultaneous Confidence Interval Method to Over-dispersed Binomial Responses Bo Li, The Citadel
	Stratification and Optimal Resampling for Sequential Monte Carlo Presentation Wenshuo Wang, Harvard University; Yichao Li, Tsinghua University; Ke Deng, Tsinghua University; Jun S. Liu, Harvard University
	Evaluating Performance of Two-Sample Parametric and Analogous Nonparametric Tests: A Monte Carlo Simulation Approach Tanweer Shapla, Eastern Michigan University; Khairul Islam, Eastern Michigan University
	Polynomial Transformation of Laplace Distribution Mohan Dev Pant, Eastern Virginia Medical School; Ismail El Moudden, Eastern Virginia Medical School; Jiangtao Luo, EVMS-Sentara Healthcare Analytics and Delivery Science Institute (HADSI) , Eastern Virginia Medical
	Hamiltonian Assisted Metropolis Sampling Zexi Song, Rutgers The State Univ of NJ; Zhiqiang Tan, Rutgers University
	Sampling and Optimization Analysis for SGD and LMC Riddhiman Bhattacharya, University of Minnesota
	Longitudinal Treatment Effect and Non-Ignorable Missing Values of a Binary Response Nikhil S Padhye, University of Texas Health Science Center at Houston; Diane Santa Maria, University of Texas Health Science Center at Houston

217	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Section on Statistical Computing & Statistics in Sports — Contributed Poster Presentations
Section on Statistical Computing, Section on Statistics in Sports
1:	Data Expo 2020: Temperature Effect on the United States’ Agriculture Phuong Ho
2:	Modeling Time-Varying Rankings: An Application to the Ice Hockey World Championships Vladimír Holý, University of Economics, Prague
3:	An Analysis of Climate Change Impact on Public Opinion Lydia Carter; Thomas J Fisher, Miami University
4:	MLB Offensive Performance with Bayesian Nonparametric Models David Teuscher
5:	Dcortools – Providing Fast and Flexible Distance Correlation Functions for Statistical Applications Dominic Edelmann, German Cancer Research Center; Jochen Fiedler, Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
7:	The Ewing Theory and Injuries Grant Beanblossom
9:	Testing Spatial Distributions of Event/Shot Locations Michael Schuckers, St. Lawrence University; Jacquelyn Garso, St. Lawrence University
10:	First-Move Advantage in Amateur Online Chess Tyler Cook, University of Central Oklahoma
11:	MAYFIELD: Machine Learning Algorithm for Yearly Forecasting Indicators and Estimation of Long-Run Player Development Alexander Williams, The Ohio State University; Benjamin Clarke, The Ohio State University; Sethward Brugler, The Ohio State University
12:	Practical Approaches to Accelerating Exact Conditional Inference in Discrete Exponential Families Grant Innerst, Shippensburg University
13:	Estimation of Ordinal Mixed Models by the Template Model Builder (TMB) Package in R Manja Grønberg, Technical University of Denmark; Line Katrine Harder Clemmensen, Technical University of Denmark; Sofie Pødenphant Jensen, Technical University of Denmark
14:	Binary Quantile Regression for Vector Responses Koki Matsuoka, Doshisha University; Jun Tsuchida, Tokyo University of Science; Masaaki Okabe, Doshisha University; Hiroshi Yadohisa, Doshisha University
15:	Adaptive Cost-Sensitive Logit Boost for Optimizing Performance Metrics Masaaki Okabe, Doshisha University; Hiroshi Yadohisa, Doshisha University
16:	A Novel Genetic Algorithm for Modeling Opinion Diffusion Over a Social Network Kara Johnson, Montana State University; Nicole Carnegie, Montana State University; Ralph Barnes, Montana State University
17:	Pliable Lasso for Grouped Predictors Joochul Lee

242 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Deep Learning Methods in Biomedical Studies — Invited Papers
WNAR, Section on Statistical Computing, Section on Statistical Learning and Data Science
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Kin Yau Alex Wong, The Polytechnic University of Hong Kong
1:05 PM	Multi-Stage Sequential Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods Youyi Fong, Fred Hutchinson Cancer Research Center; Jun Xu, None
1:30 PM	A Computationally-Favorable Reframing of Proportional-Hazards Modeling for Large Time-to-Event Data Sets with Applications to Deep Learning Noah Simon, University of Washington
1:55 PM	Deep Learning Methods for Single Cell Data Denoising and Multimodal Imputation Nancy Zhang, The University of Pennsylvania
2:20 PM	Discussant: Wei Sun, Fred Hutchinson Cancer Research Center
2:40 PM	Floor Discussion

243 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Thinking Beyond the P-Value: Advancing Bayesian Education for the Undergraduates — Invited Papers
Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Jingchen (Monika) Hu, Vassar College
Chair(s): Jingchen (Monika) Hu, Vassar College
1:05 PM	Quiz: Are You a Bayesian? Alicia A Johnson, Macalester College
1:25 PM	Bayes for Undergraduates: A Prior Is Modified Presentation Jeffrey A Witmer, Oberlin College
1:45 PM	Challenges of Teaching Bayesian Statistics to Undergraduates Brian Reich, North Carolina State University
2:05 PM	Computation Infrastructure for Teaching Bayesian Modeling Colin Witter Rundel, University of Edinburgh
2:25 PM	A Probability Plus Bayes Course Jim H Albert, Bowling Green State University
2:45 PM	Floor Discussion

246 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Withdrawn - Environmental Statistics in a Corporate World — Invited Papers
Section on Statistical Computing, Section on Statistics and the Environment, The International Environmetrics Society
Organizer(s): Matthew J. Heaton, Brigham Young University
2:45 PM	Floor Discussion

256 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Contemporary Mixed Model Methodology and Applications — Invited Papers
Biometrics Section, Section on Statistical Computing, Section on Bayesian Statistical Science
Organizer(s): Maryclare Griffin, University of Massachusetts Amherst
Chair(s): Bright Boasiako, University of Massachusetts Amherst
1:05 PM	Information Sharing for Shorter Confidence Intervals, Shorter Prediction Intervals, and Smaller P-Values Peter Hoff, Duke University
1:25 PM	Detecting Genetic Interactions with the Marginal Epistasis Test Lorin Crawford, Brown University; Xiang Zhou, University of Michigan
1:45 PM	Consistent Maximum Likelihood Estimation In Mixed Models Using Subsets Karl Oskar Ekvall, Karolinska Institute; Galin Jones, University of Minnesota
2:05 PM	Better Together: Improved Estimation of Subject-Level Functional Connectivity with Empirical Bayes Shrinkage Mary Beth Nebel, Johns Hopkins University; Amanda Mejia, Indiana University; Brian Caffo, Johns Hopkins University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
2:25 PM	Model Testing for Generalized Scalar-On-Function Linear Models Ana Maria Staicu, North Carolina State University; Luo Xiao, North Carolina State University
2:45 PM	Floor Discussion

268 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Extreme Machine Learning Methods and Applications: Domestic and International — Topic Contributed Papers
Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Kelly Toppin, IMT Corporation
Chair(s): Lu Chen, National Institute of Statistical Sciences
1:05 PM	Hierarchical Gaussian Processes for Outlier Detection Felix Jimenez, National Institute of Standards and Technology
1:25 PM	Empirical data-fusion approaches to generate model covariates Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, NASS; Claire Boryan, USDA; Lu Chen, USDA; Kevin Hunt, USDA; CLIFFORD H SPIEGELMAN, Texas A&M University; Linda J Young, NASS
1:45 PM	Early Season Planted Acreage Estimates Using Machine Learning Jake Abernethy, NASS; Claire Boryan, USDA; Kevin Hunt, USDA; Luca Sartore, National Institute of Statistical Sciences
2:05 PM	Classifying Evolving Data Streams Kelly Toppin, IMT Corporation; Luca Sartore, National Institute of Statistical Sciences
2:25 PM	Floor Discussion

274 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Analysis of Large Time Series of Remotely Sensed Environmental Measurements: Tales of the Collision Between Statistics, Remote Sensing and Geo-Computation — Topic Contributed Papers
Section on Statistics and the Environment, Section on Statistical Computing, ASA Advisory Committee on Climate Change Policy
Organizer(s): David S. Matteson, Cornell University
Chair(s): Joseph Guinness, Cornell University
1:05 PM	Multi-Temporal Abrupt Change Estimation on Landsat Time Series Imagery: Determining Burned Areas in La Primavera, Mexico Inder Tecuapetla, CONABIO; Gabriela Villamil-Cortez, National Commission for the Knowledge and Use of Biodiversity; María Isabel Cruz-López, National Commission for the Knowledge and Use of Biodiversity
1:25 PM	A Computationally Efficient Method for Fitting Big Data Spatio-Temporal Log-Gaussian Cox Processes Megan Gelsinger
1:45 PM	Embedding Spatial Variability in Rainfall Field Reconstruction Luis Rosales Marticorena, ESAN University
2:05 PM	Using Earth Observation Time Series to Analyze Vegetation Biophysical Parameters Gerardo Lopez Saldana, Assimila Ltd
2:25 PM	On the Spatial and Temporal Shift in the Archetypal Seasonal Temperature Cycle as Driven by Annual and Semi-Annual Harmonics Joshua North, University of Missouri; Christopher Wikle, University of Missouri; Erin Schliep, University of Missouri
2:45 PM	Floor Discussion

300 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
The Appeal of Quantum Computing in Statistical Science — Topic Contributed Papers
Quantum Computing in Statistics and Machine Learning, Section on Statistical Computing, Biometrics Section
Organizer(s): Sergei Leonov, CSL Behring
Chair(s): Valerii Fedorov, ICONplc
10:05 AM	Quantum Approximate Bayesian Computation Dries Sels, Harvard University
10:25 AM	Quantum Amplitude Estimation in the Presence of Noise Eric Brown, Agnostiq Inc.; Weng Kian Tham, University of Toronto; Oktay Goktas, Agnostiq Inc
10:45 AM	Designing Peptides on a Quantum Computer Hans Melo, Menten Al, Inc
11:05 AM	Discussant: Maxwell Henderson, Rigetti
11:25 AM	Discussant: Lingzhou Xue, Penn State University and NISS
11:45 PM	Floor Discussion

301 *	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Natural Language Processing Applications in Defense and National Security — Topic Contributed Papers
Section on Statistics in Defense and National Security, Text Analysis Interest Group, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Joseph D Warfield, Johns Hopkins University Applied Physics Laboratory
Chair(s): Joseph D Warfield, Johns Hopkins University Applied Physics Laboratory
10:05 AM	Neural Language Processing to Detect, Attribute, Characterize and Defend Against Digital Deception Svitlana Volkova, Pacific Northwest National Laboratory
10:25 AM	A Sliding Information Distance for Change Point Detection in Text or Audio Richard Field, Sandia National Laboratories; Christina Ting, Sandia National Laboratories; Travis Bauer, Sandia National Laboratories
10:45 AM	Few-Shot Learning for Text Applications: Exploring Authorship Identification with Small Data Lauren Phillips, Pacific Northwest National Laboratory; Sarah Reehl, Pacific Northwest National Laboratory; Ana Usenko, Western Washington University
11:05 AM	Classifying Documents Through the Use of Artificial Intelligence Kelly Townsend, Johns Hopkins University, Applied Physics Laboratory; Alex Firpi, Johns Hopkins University Applied Physics Lab
11:25 AM	Discussant: David Marchette, US Naval Surface Warfare Center Dahlgren Division
11:45 AM	Floor Discussion

350	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Bayesian Modeling and Simulation — Contributed Papers
Section on Statistical Computing
Chair(s): Kate Jie Hu, Aclima, Inc
	Efficiency of Globally-Balanced, Gradient-Based Proposal Distributions in Metropolis-Hastings Algorithms Mylène Bédard, Université De Montréal; Gabriel Boisvert-Beaudry, Université de Montréal
	A Robust Bayesian Approach to Function Registration in R^1 Kenny Chowdhary, Sandia National Laboratories; Derek Tucker, Sandia National Lab; Lyndsay Shand, Sandia National Laboratories
	Bayesian Model Diagnostics with Order Restrictions on Cell Probabilities Presentation Xinyu Chen, Worcester Polytechnic Institute
	Large-Scale Simulations for Bayesian and Frequentist Estimation Jacob Dice, Federal Reserve Bank of Kansas City
	A Formal MCMC Diagnostic for Bayesian Additive Regression Trees Brandon Butcher; Brian J. Smith, University of Iowa
	Ultra-Fast Approximate Inference Using Variational Functional Mixed Models Shuning Huo, Virginia Tech; Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center; Hongxiao Zhu, Virginia Tech

351	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Variable Selection and Computationally Intensive Methods — Contributed Papers
Section on Statistical Computing
Chair(s): Matthias Schonlau, University of Waterloo
	Integration of Two RShiny Applications into the Growclusters Package with an Example Implementation Presentation Randall Powers, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics
	Modeling Strategies for Quantile Regression with Zero-Inflated Discrete Responses Xuan Shi, University of Kentucky; Derek Young, University of Kentucky; Carlos Lamarche, University of Kentucky
	A Method for Sparse Monothetic Clustering Paul Harmon, Montana State University; Mark Greenwood, Montana State University
	Penalized Weibull Mixture Cure Models with High-Dimensional Predictors Presentation Han Fu, The Ohio State University; Kellie J Archer, The Ohio State University
	Sum of Kronecker Products Representation for Spatial Covariance Matrices and Its Factorization Presentation Jian Cao, KAUST; Marc Genton, KAUST; David Keyes, King Abdullah University of Science and Technology; George Turkiyyah, American University of Beirut
	A Scalable Approach to Estimating the Rank of High-Dimensional Data Presentation Wenlan Zang, Yale University School of Public Health; Jen-hwa Chu, Yale University School of Medicine; Michael J Kane, Yale University School of Public Health

387 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
New Advances in Network and Relational Data Analysis — Invited Papers
Section on Statistical Graphics, Section on Statistical Computing, American Sociological Association
Organizer(s): Emma Jingfei Zhang, University of Miami
Chair(s): Emma Jingfei Zhang, University of Miami
1:05 PM	High-Dimensional Random Graph Models with Dependent Edges Michael Schweinberger, Rice University; Jonathan Stewart
1:30 PM	Identifying Latent Space Geometry in Network Models Using Analysis of Curvature Tyler McCormick, University of Washington; Shane Lubold, Department of Statistics, University of Washington
1:55 PM	Community Detection in Latent Space Models Zongming Ma, University of Pennsylvania
2:20 PM	Optimal Bipartite Network Clustering Arash Ali Amini, UCLA; Zhixin Zhou, City University of Hong Kong
2:45 PM	Floor Discussion

392 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Big Tensor Data Analysis — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Anru Zhang, University of Wisconsin-Madison
Chair(s): Anru Zhang, University of Wisconsin-Madison
1:05 PM	Tensor Response Regression in the Presence of Heavy Tails Xin Zhang, Florida State University
1:30 PM	Tensor Models for Large, Complex and High-Dimensional Data Shuheng Zhou, University of California, Riverside
1:55 PM	Co-Clustering Tensors Using Fusion Penalties and CP-Decompositions Eric Chi, North Carolina State University
2:20 PM	Duality of Graphical Models and Tensor Networks Elina Robeva, University of British Columbia
2:45 PM	Floor Discussion

395 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
The Need for Interpretable and Fair Algorithms in Health Policy — Invited Panel
Health Policy Statistics Section, Biometrics Section, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Sherri Rose, Harvard Medical School
Chair(s): Laura Hatfield, Harvard Medical School
1:05 PM	The Need for Interpretable and Fair Algorithms in Health Care and Policy Presentation
Panelists:	Marzyeh Ghassemi, University of Toronto Melody Goodman, NYU Sherri Rose, Harvard Medical School Julius Adebayo, MIT
2:40 PM	Floor Discussion

405 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Student Paper Award and Chambers Statistical Software Award — Topic Contributed Papers
Section on Statistical Computing, Section on Statistical Graphics
Organizer(s): Jun Yan, University of Connecticut
Chair(s): Xiaoyue Cheng, University of Nebraska at Omaha
1:05 PM	A Matrix-Free Method for Exploratory Factor Analysis of High-Dimensional Gaussian Data Fan Dai, Iowa State University; Somak Dutta, Iowa State University; Ranjan Maitra, Iowa State University
1:25 PM	Moving-Resting Process with Measurement Error in Animal Movement Modeling Presentation Chaoran Hu, University of Connecticut, Dept of Statistics; Vladimir Pozdnyakov, University of Connecticut, Dept of Statistics; Jun Yan, University of Connecticut; Thomas Meyer, University of Connecticut; Mark Elbroch, Puma Program for Panthera
1:45 PM	A Grammar of Graphics Framework for Generalized Parallel Coordinate Plots Presentation Yawei Ge, Iowa State Univ; Heike Hofmann, Iowa State University
2:05 PM	End-to-End Statistical Learning, with or without Labels Corinne Jones, University of Washington; Vincent Roulet, University of Washington; Zaid Harchaoui, University of Washington
2:25 PM	Symengine: An R Package for Symbolic Manipulation Jialin Ma, Broad Institute of MIT and Harvard
2:45 PM	Floor Discussion

412 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Incorporation of Real-World Evidence in Clinical Trial Designs and Associated Statistical Methodologies — Topic Contributed Papers
Section for Statistical Programmers and Analysts, Biopharmaceutical Section, Section on Statistical Learning and Data Science, Section on Statistical Computing
2:45 PM	Floor Discussion

220202	Wed, 8/5/2020, 4:00 PM - 5:00 PM	Virtual
Sections on Statistical Computing and Statistical Graphics Executive Council Meeting — Other Cmte/Business
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Michele Guindani, University of California Irvine
Chair(s): Michele Guindani, University of California Irvine
1:35 PM	Can Multilevel Regression and Poststratification Estimate Conditional Treatment Effects from Complex Experimental Data? Yuxiang Gao, University of Toronto; Daniel Simpson, University of Toronto; Lauren Kennedy, Monash University
2:00 PM	A Bayesian Hierarchical Model of Violent Criminal Threat Francis Oliver Bunnin, The Alan Turing Institute; Jim Q Smith, University of Warwick; The Alan Turing Institute
2:25 PM	Sequential Bayesian Experimental Design for Implicit Models via Mutual Information Steven Kleinegesse, The University of Edinburgh, School of Informatics; Michael Urs Gutmann, The University of Edinburgh, School of Informatics; Christopher Drovandi, Queensland University of Technology, School of Mathematical Sciences
2:50 PM	Semiparametric Functional Factor Models with Bayesian Rank Selection Daniel Kowal, Rice University

441 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM
Novel Statistical and Machine Learning Approaches for Business and Financial Services — Topic Contributed Papers

11:25 AM	Floor Discussion

445 *	Thu, 8/6/2020, 10:00 AM - 11:50 AM
Complex Hypothesis Testing for Spatial, Functional and Neuroimaging Data — Topic Contributed Papers

11:45 AM	Floor Discussion

448 !	Thu, 8/6/2020, 10:00 AM - 11:50 AM
The Contribution of Convex Optimization to New Statistical Concepts — Topic Contributed Papers

11:45 AM	Floor Discussion

455 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM
Big Data, Technology Platform and Digital Innovation with Measurable Impact — Topic Contributed Panel

11:45 AM	Floor Discussion

494	Thu, 8/6/2020, 10:00 AM - 2:00 PM
Simulation-Based Approaches — Contributed Papers

542	Thu, 8/6/2020, 1:00 PM - 2:50 PM
Recent Extension from Univariate to Multivariate Analysis for High-Dimensional Data with Complex Environment — Topic Contributed Papers

2:25 PM	Floor Discussion

546	Thu, 8/6/2020, 1:00 PM - 2:50 PM
Foundational Issues in Machine Learning — Topic Contributed Papers

2:05 PM	Floor Discussion

580 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM
Statistical and Computational Challenges in Nonparametric Learning — Topic Contributed Papers

4:25 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association