Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
Activity Details
112 *
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 122
Smoothing for Spatially and Temporally Indexed Data — Topic Contributed Papers
Royal Statistical Society , Section on Nonparametric Statistics, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Philip Reiss, University of Haifa
Chair(s): Michael Lavine, University of Massachusetts, Amherst
8:35 AM
Some Model-Building Tools for Gaussian Processes, Using an Approximate Form of the Restricted Likelihood
Presentation
Maitreyee Bose, University of Washington; James S. Hodges, University of Minnesota ; Sudipto Banerjee, UCLA School of Public Health
8:55 AM
Flexible Group Difference Tests for Age-Varying Distributions
Presentation
Philip Reiss, University of Haifa
9:15 AM
Lagged Hierarchical Semiparametric Models for Task-Based Dynamic Functional Connectivity (DFC)
Presentation
Jaroslaw Harezlak, Indiana University Bloomington ; Zikai Lin, Indiana University; Maria Kudela, Takeda Pharmaceuticals; Brandon Oberlin, Indiana University School of Medicine; Joaquin Goni, Purdue University; David A Kareken, Indiana University School of Medicine; Mario Dzemidzic, Indiana University School of Medicine
9:35 AM
Methods for Large Scale Smooth Space Time Modeling
Presentation 1
Presentation 2
Simon Wood
10:15 AM
Floor Discussion
219 !
Mon, 7/30/2018,
2:00 PM -
3:50 PM
CC-West 118
Seeing the World as a Missing Data Problem: Celebrating 40 Years of Multiple Imputation — Invited Papers
Social Statistics Section , Survey Research Methods Section, Royal Statistical Society, SSC
Organizer(s): Robin Mitra, University of Lancaster
Chair(s): Robin Mitra, University of Lancaster
2:05 PM
Nonparametric Multiple Imputation for Bridging Between Different Industry Coding Systems
Jörg Drechsler, Institute for Employment Research ; Birgit Pech, Amt für Statistik Berlin-Brandenburg
2:30 PM
Multiple Imputation for Adaptive Survey Design
Presentation
Trivellore Raghunathan, University of Michigan
2:55 PM
A Robust Multiple Imputation Approach to Causal Inference with Confounding by Indication
Presentation
Roderick J Little, University of Michigan ; Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan
3:20 PM
Discussant: Donald Rubin, Harvard University
3:45 PM
Floor Discussion
280 !
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-East 19
Leading the Stream: Novel Methods for Streaming Data — Invited Papers
Business and Economic Statistics Section , Section on Statistical Learning and Data Science, Royal Statistical Society
Organizer(s): Idris Eckley, Lancaster University
Chair(s): Hernando Ombao, King Abdullah University of Science and Technology
8:35 AM
Automated Bayesian Inference for Large-Scale Datastreams
Presentation
Trevor Campbell, Massachusetts Institute of Technology ; Tamara Broderick, Massachusetts Institute of Technology
9:00 AM
Sequential Change-Point Detection Based on Nearest Neighbors
Hao Chen, University of California, Davis
9:25 AM
Multiscale Models for Continuous Time Interaction Data
Tyler McCormick, University of Washington ; Wesley Lee, University of Washington; Rumi Chunara, New York University
9:50 AM
Efficient Detection of Anomalies Within Streaming Data
Alexander Fisch, Lancaster University; Idris Eckley, Lancaster University ; Paul Fearnhead, Lancaster University
10:15 AM
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
573 * !
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-West 120
Design of Experiments for Stochastic Process Models — Topic Contributed Papers
Royal Statistical Society , Section on Bayesian Statistical Science, Quality and Productivity Section
Organizer(s): James McGree
Chair(s): David Woods, University of Southampton
2:05 PM
Efficient Construction of Bayes Optimal Designs for Stochastic Process Models
Presentation
Richard Boys, Newcastle University
2:25 PM
Bayesian Design for Intractable Models
Presentation
Antony Overstall, University of Southampton
2:45 PM
Developments of the Synthetic Likelihood Approach for Bayesian Design for Models with Intractable Likelihoods
James McGree
3:05 PM
Optimal Bayesian Design for Models with Intractable Likelihoods via Machine Learning Methods
Presentation
Christopher C Drovandi, Queensland University of Technology; Markus Hainy, QUT
3:25 PM
Optimal Design for Queueing Systems: Maximal Information by Appropriate Measurement on Queues
Ben Parker, University of Southampton
3:45 PM
Floor Discussion
629
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 218
New Developments in Nonparametric and Semiparametric Statistics — Contributed Papers
Section on Nonparametric Statistics , Royal Statistical Society, ENAR
Chair(s): Qing Wu, University of Nevada, Las Vegas
8:35 AM
Fair Inference Through Semiparametric-Efficient Estimation Over Constraint-Specific Paths
Presentation
Nima Hejazi, Group in Biostatistics, UC Berkeley
8:50 AM
Measuring Lexical Dispersion in Corpus Linguistics
Presentation
Brent Burch, Northern Arizona University ; Jesse Egbert, Northern Arizona University; Douglas Biber, Northern Arizona University
9:05 AM
A First-Order Multiresolution Analysis of Point Processes
Presentation
Youssef Taleb, Imperial College London ; Edward A K Cohen, Imperial College London
9:20 AM
A Flexible Zero-Inflated Regression Model
Eric Roemmele ; Derek S. Young, University of Kentucky
9:35 AM
Wavelet Coherence for Multivariate Point Processes
Presentation
Edward A K Cohen, Imperial College London ; Alex J Gibberd, Imperial College London
9:50 AM
An Integrated Bayesian Nonparameteric Method for Clustering of High-Dimensional Mixed Data
Chetkar Jha, University of Missouri ; Subharup Guha, University of Florida
10:05 AM
CRSP: Modeling Stochastically Intransitive Relationships Between NBA Teams
Ryan Patrick Alexander McShane, Southern Methodist University ; Ian Harris, Southern Methodist University