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

Activity Details

Sun, 7/29/2018, 8:30 PM - 10:30 PM CC-West Hall B
Invited ePoster Session: a Statistical Smörgåsbord — Invited Poster Presentations
SSC, Section on Bayesian Statistical Science, Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Biometrics Section, Section on Statistics and the Environment, Section for Statistical Programmers and Analysts, Section on Statistics in Imaging, WNAR, Social Statistics Section, Astrostatistics Special Interest Group, Biopharmaceutical Section, ENAR, Section on Risk Analysis, Section on Statistical Consulting
Chair(s): Paul McNicholas, McMaster University
1: The LISA 2020 Program to Build Statistics Capacity in Developing Countries
Eric Vance, LISA-University of Colorado Boulder
2: Conditions for the Uniqueness, Finiteness, and Possible Location of the Maximum Likelihood Estimate with a Log Binomial Model
Gurbakhshash Singh, University of Calgary; Gordon Hilton Fick, University of Calgary
3: Two Mixture-Based Clustering Approaches: Modeling an Automobile Insurance Portfolio
Tatjana Miljkovic, Miami University; Daniel Fernandez, Victoria University of Wellington
4: An Expectation Conditional Maximization Approach for Gaussian Graphical Models
Zehang Li, University of Washington; Tyler McCormick, University of Washington
5: A Bayesian Model for Multivariate Micro-Level Insurance Claims
Marie-Pier Côté, Universite Laval; Christian Genest, McGill University; David A Stephens, McGill University
6: Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
7: Flexible Accelerated Failure Time Model in Survival Analysis
Menglan Pang, McGill University; Michal Abrahamowicz, McGill University; Robert W Platt, McGill University
8: Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada
Michelle Thiessen, Simon Fraser University; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
9: Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Taylor Gene Pospisil, Carnegie Mellon University
10: Zero Counts in Single Cell RNA-Seq Data
Hao Wu, Emory University; Zhijin Wu, Brown University
11: Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University; Stefan Wager, Stanford University
12: Estimation of Fire Duration Distribution with Missing Start Time
Yi Xiong, Simon Fraser University; John Braun, University of British Columbia ; Joan Hu, Simon Fraser University
13: Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions
David Edward Jones, Duke University and SAMSI; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech
14: Approximate Bayesian Computation for the Stellar Initial Mass Function
Jessi Cisewski-Kehe, Yale University; Chad Schafer, Carnegie Mellon University; Grant Weller, Savvysherpa; David Hogg, New York University
15: A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters
Arya Farahi, University of Michigan - Ann Arbor
16: Statistical Approaches to Decreasing the Discrepancy of Non-Detects in QPCR Data
Valeriia Sherina, University of Rochester Medical Center; Love Tanzy, University of Rochester Medical Center; Matthew N. McCall, University of Rochester Medical Center
17: Generalized Statistical Inference for Astrophysical Discoveries
Sara Algeri, Imperial College London; David A van Dyk, Imperial College London; Jan Conrad, Oskar Klein Centre for Cosmoparticle Physics
18: Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
Edward Kennedy, Carnegie Mellon University; Matteo Bonvini, Carnegie Mellon University
19: Addressing Overfitting in Mixtures of Factor Analyzers
Jeffrey L Andrews, University of British Columbia Okanagan
20: Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting
21: Probabilistic Partial Least Squares Regression Applied to Longitudinal and Cross-Sectional Compositional Data
Peter A Tait, McMaster Univeristy; Paul McNicholas, McMaster University
22: Detection of Trend Onset in Environmental Time Series
Ying Zhang, Acadia University
23: The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model
Yin Song, University of Victoria; Farouk Nathoo; Arif Babul, University of Victoria
24: Infere
Steven Cumming, Université Laval
25: Functional Partial Linear Quantile Regression Based on Reproducing Kernel Hilbert Space
Peng Liu, University of Alberta; Linglong KONG, University of Alberta; Bei JIANG, University of Alberta; Nan Zhang, Fudan University; Jianhua Z. Huang, Texas A&M University
26: Gaussian Process Regression with Large Data Sets: Has the Problem Been Solved?
Sonja Surjanovic, University of British Columbia; William Welch, University of British Columbia
27: Sparse Estimation for Functional Semiparametric Additive Model
Peijun Sang, Simon Fraser University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
28: Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model
Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo
29: A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk
David C. Wheeler, Virginia Commonwealth University
30: Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data
Wei Tu, University of Alberta
31: A Model-Based Clustering to Identify Disease-Associated SNPs
Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
32: The Consequences of Requiring 'Greater Statistical Stringency' for Scientific Publication
Harlan Campbell, University of British Columbia; Paul Gustafson, University of British Columbia
33: Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers
Brian C Franczak, MacEwan University
34: Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation
Luyao Lin, Simon Fraser University; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
35: Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects?
Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia
36: Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series
Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
37: Sparse Functional Principal Component Analysis in a New Regression Framework
YUNLONG NIE, Simon Fraser University; Jiguo Cao, Simon Fraser University
38: Inference of Introgressive Hybridization in Anopheles Mosquito Genomes
Jingxue(Grace) Feng, Simon Fraser University; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University
39: Statistical Methods for Addressing Missing Data in HIV/AIDS Surveillance Systems
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutch
40: Latent Mixtures of Functions to Characterize the Complex Exposure Relationships of Pesticides on Cancer Incidence
Sung Duk Kim, National Cancer Institute; Paul S Albert, National Cancer Institute

102 * !
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 203
SAMSI-ASTRO: New Innovations and Challenges in Astrostatistics — Invited Papers
Statistical and Applied Mathematical Sciences Institute, Astrostatistics Special Interest Group, International Society for Bayesian Analysis (ISBA)
Organizer(s): Sujit Ghosh, North Carolina State Univ.
Chair(s): Richard Smith, Statistical Applied Mathematical Sciences Institute
8:35 AM Detecting Planets: Jointly Modeling Radial Velocity and Stellar Activity Time Series
David Edward Jones, Duke University and SAMSI; David Stenning, Imperial College London; Eric Ford, Penn State University; Robert Wolpert, Duke University; Thomas Loredo, Cornell University; Xavier Dumusque, Observatoire Astronomique de l'Universite de Geneve
8:55 AM Robust Pulsar Timing Inference with Non-Gaussian Distributions
Hyungsuk Tak, SAMSI; Justin A. Ellis, West Virginia University; Sujit Ghosh, North Carolina State Univ.
9:15 AM Investigating the Cosmic Web with Topological Data Analysis
Jessi Cisewski-Kehe, Yale University
9:35 AM Computer Model Calibration to Enable Disaggregation of Chemical Spectra
David Stenning, Imperial College London
9:55 AM Discussant: G. Jogesh Babu, Penn State University
10:15 AM Floor Discussion

Mon, 7/30/2018, 1:00 PM - 2:00 PM F-Mackenzie I
Astrostatistics Interest Group Business Meeting — Other Cmte/Business
Astrostatistics Special Interest Group
Chair(s): Jessi Cisewski-Kehe, Yale University

334 * !
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-East 9
Statistical Methods in Astronomy, Astrophysics and Cosmology — Topic Contributed Papers
Astrostatistics Special Interest Group
Organizer(s): Thomas C. M. Lee, UC Davis
Chair(s): David Stenning, Imperial College London
10:35 AM Constructing Cosmological Emulators from a Mixture of Complete and Partial Simulation Results
Earl Christopher Lawrence, Los Alamos National Laboratory
10:55 AM Analyzing Cosmic Webs Using Geometric Approaches
Yen-Chi Chen, University of Washington
11:15 AM Defining Regions That Contain Complex Astronomical Structures
Kathryn McKeough, Harvard University
11:35 AM The Large-Scale Universe: a 3D Map via the Lya Forest of BOSS DR12 Quasars
Collin Eubanks, Carnegie Mellon University
11:55 AM Automatic Detection of Abrupt Changes in the Spectra of High-Energy Astrophysical Sources
Tongyi Tang
12:15 PM Floor Discussion

561 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 217
Hierarchical Bayes in a Hierarchical Universe — Invited Papers
Section on Bayesian Statistical Science, Astrostatistics Special Interest Group, Section on Physical and Engineering Sciences
Organizer(s): Yen-Chi Chen, University of Washington; Gwendolyn Marie Eadie, University of Washington
Chair(s): Yen-Chi Chen, University of Washington
2:05 PM The Scientific Context of Astrostatistics: An Overview of the Hierarchical Universe
Gwendolyn Marie Eadie, University of Washington
2:25 PM Astrophysical Deconvolution When the Convolution Function Is Imprecise
David A van Dyk, Imperial College London
2:45 PM Insights into Exoplanet Compositions from Hierarchical Bayesian Modeling
Angie Wolfgang, Pennsylvania State University; Eric D. Lopez, NASA Goddard; Anirban Mondal, Case Western Reserve University
3:05 PM Hierarchical Bayesian Models for Supernovae and Cosmology
Kaisey Stephen Mandel, University of Cambridge
3:25 PM Hierarchical Bayes in High Energy Astrophysics
Aneta Siemiginowska, Harvard-Smithsonian Center for Astrophysics
3:45 PM Floor Discussion

641 !
Thu, 8/2/2018, 10:30 AM - 12:20 PM CC-West 306
Memorial Session for Joseph Hilbe: a Statistician Who Counted! — Invited Papers
Memorial, International Statistical Institute, Section on Statistics in Sports, Astrostatistics Special Interest Group, History of Statistics Interest Group
Organizer(s): Kimberly F Sellers, Georgetown University
Chair(s): Justine Shults, University of Pennsylvania Perelman School of Medicine
10:35 AM An Overview of Count Data Models, Their Use, and Their Implementation in Software
James Hardin, University of South Carolina
10:55 AM An Overview of Generalized Linear Models with Applications in Astronomy
Rafael S. de Souza, UNC Chapel Hill and International Astrostatistics Association
11:15 AM Dr. Joseph Hilbe and his Impact on the Development of New methods for Discrete Data Analysis
Justine Shults, University of Pennsylvania Perelman School of Medicine
11:35 AM Joseph Hilbe: Athlete, Coach, Statistician and Mentor
Michael Hilbe, Arizona State University
11:55 AM Discussant: Kimberly F Sellers, Georgetown University
12:15 PM Floor Discussion