Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

20 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-708
Bayesian Additive Regression Trees: Making an Impact — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Royal Statistical Society
Organizer(s): Rodney Sparapani, Medical College of Wisconsin
Chair(s): Robert McCulloch, Arizona State University
2:05 PM	On Theory for BART Presentation Enakshi Saha, University of Chicago; Veronika Rockova, University of Chicago
2:25 PM	Bayesian Tree Models for Continuous Treatment Effects Jared S Murray, University of Texas at Austin
2:45 PM	XBART: Accelerated Bayesian Additive Regression Trees Presentation P. Richard Hahn, Arizona State University; Jingyu He, Chicago Booth
3:05 PM	Nonparametric Survival Analysis with Dirichlet Processes Mixtures and Heteroskedastic Bayesian Additive Regression Trees Rodney Sparapani, Medical College of Wisconsin; Robert McCulloch, Arizona State University; Matthew Pratola; Brent R. Logan, Medical College of Wisconsin; Prakash Laud, Medical College of Wisconsin
3:25 PM	Adaptive Splitting Bayesian Regression Tree Models for Image Analysis Matthew Pratola; David Higdon, Virginia Tech
3:45 PM	Floor Discussion

218950	Sun, 7/28/2019, 7:00 PM - 8:30 PM	H-Mineral Hall B
Significance Magazine Drinks Reception — Other ICW
Royal Statistical Society
Organizer(s): Brian Tarran, Significance Magazine

226 *	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-111
Causal Inference with Spatial Environmental Data — Topic Contributed Papers
Royal Statistical Society, Section on Statistics and the Environment, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Corwin Zigler, University of Texas at Austin
Chair(s): Corwin Zigler, University of Texas at Austin
2:05 PM	Causal Spatial Analysis in the Presence of Unmeasured Confounders Presentation Brian Reich, North Carolina State University; Shu Yang, North Carolina State University; Yawen Guan, North Carolina State University
2:25 PM	Causal Inference with Interfering Units for Cluster and Population Level Treatment Allocation Programs Presentation Georgia Papadogeorgou, Duke; Fabrizia Mealli, University of Florence; Corwin Zigler, University of Texas at Austin
2:45 PM	Measurement Error, Spatial Confounding, and Changing Target Populations Joshua Keller, Colorado State University
3:05 PM	Causal Inference and Casual Spatial Models: The Importance of Modeling Mechanism in Spatial Data Presentation Ephraim Hanks, Pennsylvania State University
3:25 PM	Floor Discussion

290 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-703
Big Data in Time Series and Spatial Data Analysis: Theory and Applications — Topic Contributed Papers
Royal Statistical Society, IMS, Section on Statistical Computing
Organizer(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
Chair(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
8:35 AM	Two Sample Testing for Multivariate Functional Data Presentation Klaus Telkmann, University of California Irvine; Dustin Pluta, University of California Irvine; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Babak Shahbaba, University of California Irvine
8:55 AM	Parameter Estimation for Big Data in Time Series and Random Fields Presentation Adam Sykulski, Lancaster University; Sofia C Olhede, University College London; Arthur Guillaumin, University College London
9:15 AM	Nonparametric Regression Under Semi-Long Range Dependence Farzad Sabzikar, Iowa State University
9:35 AM	Further Development of the Double Conditional Smoothing for Nonparametric Surfaces Under a Lattice Spatial Model Presentation Yuanhua Feng; Bastian Schäfer, Paderborn University
9:55 AM	Discussant: Jan Beran, University of Konstanz
10:15 AM	Floor Discussion

495 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-502
Changepoints: Making an Impact — Topic Contributed Papers
Royal Statistical Society, Section on Statistical Computing, Business and Economic Statistics Section
Organizer(s): Rebecca Killick, Lancaster University, UK
Chair(s): David Matteson, Cornell University
10:35 AM	Distinguishing Short and Long-Memory When Testing for Changepoints in Climate Time-Series: Application to Surface Temperature Records Claudie Beaulieu, University of California, Santa Cruz; Rebecca Killick, Lancaster University, UK
10:55 AM	Detection and Estimation of Local Signals David Siegmund; Xiao Fang, Chinese University of Hong Kong
11:15 AM	Detecting Changes in Mean in the Presence of Autocovariance Presentation Euan McGonigle, Lancaster University; Rebecca Killick, Lancaster University, UK; Matthew Nunes, University of Bath
11:35 AM	Changepoint Analysis of Historical Battle Deaths Presentation Marina Knight, University of York; Brennen Fagan, University of York; Niall MacKay, University of York; Jamie Wood, University of York
11:55 AM	Influence Measures for Changepoint Segmentations Presentation Ines Wilms, Maastricht University; Rebecca Killick, Lancaster University, UK; David Matteson, Cornell University
12:15 PM	Floor Discussion

554 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-503
Interdisciplinary Research and Leadership: How to Make an Impact in the Data Science Age — Invited Panel
IMS, Section on Statistical Learning and Data Science, Royal Statistical Society
Organizer(s): Bin Yu, UC Berkeley
Chair(s): Bin Yu, UC Berkeley
2:05 PM	Interdisciplinary Research and Leadership: How to Make an Impact in the Data Science Age
Panelists:	Alicia Carriquiry, Iowa State University Christopher Genovese, Statistics, CMU Hongyu Zhao, Yale Jasjeet Sekhon, UC Berkeley Simon Tavare, Inst of Cancer Dynamics and Statistics, Columbia University Tamara Tamara Greasby, Data Science at The Trade Desk
3:45 PM	Floor Discussion

633	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-102
Foundations of Data Science: Privacy-Preserving Inference — Invited Papers
Business and Economic Statistics Section, Royal Statistical Society, IMS, Section on Statistical Learning and Data Science
Organizer(s): Sofia C Olhede, University College London
Chair(s): Guy Nason, University of Bristol
11:00 AM	Privacy-Preserving Technologies Meet Machine Learning Presentation Jeannette Wing, Columbia University, Data Science Institute
11:25 AM	Privacy-Preserving Prediction Presentation 1 Presentation 2 Presentation 3 Cynthia Dwork, Harvard University; Vitaly Feldman, Google
11:50 AM	Discussant: Patrick J Wolfe, Purdue University
12:15 PM	Floor Discussion

JSM 2019 Online Program