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

Activity Details

67 !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-203
Believable Big Bayes: Large-Scale Bayesian Inference with Finite-Data Guarantees — Topic Contributed Papers
SSC, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Section on Statistical Computing
Organizer(s): Trevor Campbell, University of British Columbia
Chair(s): Tamara Broderick, Massachusetts Institute of Technology
4:05 PM Variational Inference You Can Trust: a New Approach to Boosting
Trevor Campbell, University of British Columbia
4:25 PM A Scalable, Robust Bayesian Approach to Finding Mutational Signatures in Human Cancer
Jonathan Huggins, Harvard School of Public Health
4:45 PM Detecting Anomalous Structure in Multivariate Data Streams
Alexander Fisch, Lancaster University; Idris Eckley, Lancaster University; Paul Fearnhead, Lancaster University
5:05 PM Diffusion-Stein Sample Quality Measures for Distributions in Finite and Infinite Dimensions
Andrew Duncan, Imperial College London
5:25 PM Generalized Bilinear Models for Bias Correction in Large-Scale Genomics Data
Jeffrey Miller, Harvard TH Chan School of Public Health
5:45 PM Floor Discussion

101 !
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-706
Making an Impact in Neuroscience: Advances in Statistical Methods for Brain Imaging — Invited Papers
SSC, Section on Statistics in Imaging, Canadian Statistical Sciences Institute
Organizer(s): Farouk Nathoo, University of Victoria
Chair(s): Bei Jiang, University of Alberta
8:35 AM Nonparametric Matrix Response Regression with Application to Calcium Imaging
Dehan Kong, University of Toronto
9:00 AM Geostatistical Modeling of Positive Definite Matrices with Applications to Diffusion Tensor Imaging
Dipankar Bandyopadhyay, Virginia Commonwealth University; Brian Reich, North Carolina State University; Zhou Lan, North Carolina State University; Joseph Guinness, Cornell University
9:25 AM Optimal Estimation in Quantile Functional Regression with Application in Imaging Genetics
Linglong Kong, University of Alberta
9:50 AM Discussant: Farouk Nathoo, University of Victoria
10:10 AM Floor Discussion

Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-104
Inference with Non-Probability Sample Through Data Integration — Topic Contributed Papers
Survey Research Methods Section, SSC, Korean International Statistical Society
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): Jae-kwang Kim, Iowa State University
10:35 AM Nonparametric Mass Imputation for Data Integration
Sixia Chen, University of Oklahoma Health Sciences Center; Jae-kwang Kim, Iowa State University; Shu Yang, North Carolina State University
10:55 AM A Data-Driven Approach to Cell Ratio Estimation for Item Nonresponse in Survey Sampling
Danhyang Lee, Iowa State University; Jae-kwang Kim, Iowa State University
11:15 AM A Kernel Weighting Approach to Improve Population Representativeness for Association Estimation
Lingxiao Wang; Barry Graubard, National Cancer Institute; Hormuzd Katki, US National Cancer Institute; Yan Li, University of Maryland at College Park
11:35 AM General Purpose Multiply Robust Data Integration Procedure for Combining Probability and Non-Probability Samples
David Haziza, Université de Montréal; Sixia Chen, University of Oklahoma Health Sciences Center
11:55 PM Discussant: Phil Kott, RTI
12:15 PM Floor Discussion

Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-Hall C
Contributed Poster Presentations:SSC — Contributed Poster Presentations
Chair(s): Wendy Meiring, University of California At Santa Barbara
90: A Time Series Based Point Estimation of Stop Signal Reaction Times
Mohsen Soltanifar, University of Toronto, Dalla Lana School of Public Health; Keith Knight, University of Toronto, Department of Statistical Sciences; Annie Dupuis, University of Toronto, Dalla Lana School of Public Health; Russell Schachar, The Hospital for Sick Children; Michael Escobar, University of Toronto, Dalla Lana School of Public Health
92: Feature Selection Bias in Assessing the Predictivity of SNPs for Alzheimer's Disease
Mei Dong, University of Saskatchewan; Longhai Li, University of Saskatchewan
93: Randomized Survival Probability Residual for Assessing Parametric Survival Models
Tingxuan Wu, University of Saskatchewan, Canada; Longhai Li, University of Saskatchewan

Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-113
Highlights of the Canadian Journal of Statistics — Invited Papers
Organizer(s): Louis-Paul Rivest, Université Laval
Chair(s): Robert Platt, McGill University
10:35 AM Big Data and Partial Least-Squares Prediction
Dennis Cook, University of Minnesota; Liliana Forzani, Departamento de Matematica, Universidad Nacional del Litoral
11:00 AM Post-Selection Inference for L1-Penalized Likelihood Models
Robert Tibshirani, Stanford University
11:25 AM Likelihood Inflating Sampling Algorithm
Jeffrey S Rosenthal, University of Toronto
11:50 AM Estimating Prevalence Using Indirect Information and Bayesian Evidence Synthesis
David A. Stephens, McGill University
12:15 PM Floor Discussion

Tue, 7/30/2019, 5:30 PM - 7:00 PM H-Mineral Hall D
Statistical Society of Canada Reception — Other ICW
Organizer(s): Bruce Smith, Dalhousie University

543 !
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-505
Making Sense of Complex Featured Data with Statistical Methods — Invited Papers
SSC, Canadian Statistical Sciences Institute
Organizer(s): Grace Yi, University of Waterloo
Chair(s): Grace Yi, University of Waterloo
2:05 PM Prediction for Error-Contaminated Image Data with an Application of the Prostate Cancer Imaging Study
Wenqing He, University of Western Ontario; Grace Yi, University of Waterloo; Junhan Fang, University of Waterloo
2:30 PM Estimating Optimal Dynamic Treatment Regimes with Survival Outcomes: An Application to the Treatment of Type 2 Diabetes
Gabrielle Simoneau, McGill University; Erica Moodie, McGill university; Robert Platt, McGill University; Laurent Azoulay, McGill University
2:55 PM Dealing with Time-Varying Eligibility for Exposure Using the Target Trials Approach to Causal Inference with Electronic Health Records
Mireille Schnitzer, University of Montreal
3:20 PM Prediction for Federal Election by Joint Statistical Modeling
Joan Fraser Hu, Simon Fraser University; Xin Shane Liu, Shanghai University of Finance and Economics; Emma Qi Wen, Simon Fraser University
3:45 PM Floor Discussion

632 * !
Thu, 8/1/2019, 10:30 AM - 12:20 PM CC-203
Advances in Statistical Disclosure Control Methodology — Invited Papers
SSC, Canadian Statistical Sciences Institute, Journal of Survey Statistics and Methodology
Organizer(s): Bei Jiang, University of Alberta
Chair(s): Linglong Kong, University of Alberta
10:35 AM Accounting for Longitudinal Data Structures When Disseminating Synthetic Data to the Public
Joerg Drechsler, Institute for Employment Research; Robin Mitra, University of Lancaster; Sana Rashid, Willis Towers Watson
10:55 AM Optimal Inference Under Formal Privacy for Binomial Data
Aleksandra Slavkovic, Penn State University; Jordan Awan, Penn State University
11:15 AM Balancing Inferential Integrity and Disclosure Risk via Model Targeted Masking and Multiple Imputation
Bei Jiang, University of Alberta; Adrian Raftery, University of Washington; Russell Steele, Mcgill University; Naisyin Wang, U of Michigan
11:35 AM Differential Privacy and Synthetic Data for Disclosure Control
Barrientos Felipe Andres, Duke University; Jerry Reiter, Duke University; Tom Balmat, Duke University
11:55 AM Modernizing Access to Statistics Canada Information
Peter Wright, Statistics Canada; Steven Thomas, Statistics Canada
12:15 PM Floor Discussion