All Times EDT
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Activity Details
11 *
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Statistical Inference for Solar and Geophysical Data — Invited Papers
Section on Physical and Engineering Sciences , Section on Nonparametric Statistics, Astrostatistics Special Interest Group
Organizer(s): Gwendolyn M Eadie, University of Toronto
Chair(s): David van Dyk, Imperial College London
10:05 AM
Multitaper Analysis of High-Q Spectral Peaks and Non-Stationarity in the Geomagnetic Field Over the 400-4000 µHz Band
Alan Chave, Woods Hole Oceanographic Institution
10:30 AM
Hitting a Moving Target: Modeling Non-Stationary Relationships in Geomagnetism
David Riegert, Queen's University ; David J Thomson, Queen's University; Glen Takahara, Queen's University
10:55 AM
Solar Flare Prediction with Machine Learning
Yang Chen, University of Michigan
11:20 AM
Effect of Systematic Uncertainties on Density and Temperature Estimates in Coronae of Capella
Xixi Yu, Imperial College London ; David van Dyk, Imperial College London; David Stenning, Imperial College London; Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian; Giulio Del Zanna, Centre for Mathematical Sciences, University of Cambridge
11:45 AM
Floor Discussion
37 * !
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
How to Save Lives and Increase Mobility on Highways? — Topic Contributed Panel
Government Statistics Section , Section on Physical and Engineering Sciences, Section on Statistics and Data Science Education
Organizer(s): Roya Amjadi, Federal Highway Administration
Chair(s): Roya Amjadi, Federal Highway Administration
10:05 AM
How to Save Lives and Increase Mobility on Highways?
Panelists:
Wei Zhang, Federal Highway Administration Rachel James, Federal Highway Administration Raul Avelar, Texas A&M Transportation Institute Kornel Kerenyi, Federal Highway Administration
11:40 AM
Floor Discussion
73 *
Mon, 8/3/2020,
10:00 AM -
2:00 PM
Virtual
Modeling Spatial and Statio-Temporal Data — Contributed Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section
Chair(s): Mary Dorn, Los Alamos National Laboratory
Detecting Changes in Self-Exciting Point Processes Through Trend Reversal
Moinak Bhaduri, Bentley University ; Anuja Das, Bentley University
Characterizing Spatio-Temporal Trends in Extreme Precipitation in Southeast Texas
Carly Fagnant, Rice University - Statistics ; Avantika Gori, Princeton University - Civil & Environmental Engineering; Antonia Sebastian, The University of North Carolina at Chapel Hill - Geological Sciences; Philip Bedient, Rice University - Civil & Environmental Engineering; Katherine Ensor, Rice University
Neighborhood Vector Autoregressive Model for Multivariate Time Series of Stream Nitrogen
Zhihao Hu, Virginia Tech ; Shyam Ranganathan, Virginia Tech; Yang Shao, Virginia Tech; Xinwei Deng, Virginia Tech
Heterogeneity Pursuit for Spatial Point Pattern with Application to Tree Locations: A Bayesian Semiparametric Recourse
Jieying Jiao, University of Connecticut ; Guanyu Hu, University of Connecticut ; Jun Yan, University of Connecticut
Simulating cloud-aerosol interactions made by ship emissions
Lyndsay Shand, Sandia National Laboratories ; Lekha Patel, Sandia National Laboratories
Estimating a SARAR Model Based on the Indirect Inference Principle
Xiaotian Liu
130 * !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Advances in Resource Allocation for Epidemic Control: Estimation, Optimization, and Counterfactuals — Topic Contributed Papers
Section on Statistics in Epidemiology , Health Policy Statistics Section, Section on Physical and Engineering Sciences
Organizer(s): Soheil Eshghi, Yale School of Public Health
Chair(s): David Kline, Ohio State University
1:05 PM
Testing Infection Graphs
Justin Khim, Carnegie Mellon Univ
1:25 PM
The Cost of Uncertainty in Curing Epidemics
Jessica Hoffmann, University of Texas At Austin
1:45 PM
Large-Scale Epidemic Control via Matrix Balancing
Van Sy Mai, National Institute of Standards and Technology ; Abdella Battou, National Institute of Standards and Technology
2:05 PM
Optimal Resource Allocation for Containment of Epidemics
Jorge Francisco Barreras, University of Pennsylvania ; Victor Miguel Preciado, University of Pennsylvania
2:25 PM
Dynamic Policy Counterfactuals: Evaluating Contact-Tracing in the EVD Outbreak in Liberia 2014-16
Soheil Eshghi, Yale School of Public Health ; Forrest W. Crawford, Yale University
2:45 PM
Floor Discussion
199
Tue, 8/4/2020,
10:00 AM -
2:00 PM
Virtual
Innovations in Modeling Computer Experiments — Contributed Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section
Chair(s): Bledar Konomi, University of Cincinnati
Bayesian Optimization via Barrier Functions
Tony Pourmohamad, Genentech ; Herbert Lee, Univ of California, Santa Cruz
Calibration of Inexact Computer Models with Heteroscedastic Errors
Presentation
Chih-Li Sung, Michigan State University ; Beau David Barber, University of Illinois at Urbana-Champaign; Berkley J. Walker, Michigan State University
Quantifying Uncertainties of Microscopic Nuclear Theories
Kevin Quinlan, Lawrence Livermore National Laboratory
Prediction for Distributional Outcomes in High-Performance Computing I/O Variability
Li Xu, Virginia Tech ; Yili Hong; Layne Watson, Department of Computer Science, Virginia Tech; Kirk Cameron, Department of Computer Science, Virginia Tech
Statistical Emulation for High-Dimensional Complex Simulators
Gang Yang, University of Cincinnati ; Emily Kang, University of Cincinnati ; Bledar Konomi, University of Cincinnati
Local Inducing Point Gaussian Processes for Large-Scale Simulation Experiments
David Austin Cole, Virginia Tech ; Ryan Christianson, Virginia Tech; Robert Gramacy, Virginia Tech
Estimating Repeatability and Reproducibility with Limited Replications
Hina Arora ; Naomi Kaplan Damary, Postdoctoral scholar, University of California, Irvine; Hal Stern, Vice Provost for Academic Planning Office of the Provost and Chancellor's Professor
200
Tue, 8/4/2020,
10:00 AM -
2:00 PM
Virtual
New Developments in the Design of Experiments — Contributed Papers
Section on Physical and Engineering Sciences , Text Analysis Interest Group, Quality and Productivity Section
Chair(s): David Collins, Los Alamos National Laboratory
Optimal Sensor Placement for Finite Element Model Validation
Ethan Davis, North Carolina State University ; Jonathan Stallrich, North Carolina State University; Munir Winkel, North Carolina State University; Peter Parker, NASA Langley Research Center; Ken Toro, NASA Langley Research Center
New Priors for Bayesian Analysis of Screening Designs
Michael McKibben, North Carolina State University ; Jonathan Stallrich, North Carolina State University
Stop Treating Supersaturated Designs Like Other Screening Designs
Maria Weese, Miami University ; Jonathan Stallrich, North Carolina State University; Byran JAY Smucker, Miami University (Ohio); David Edwards, Virginia Commonwealth University
The A-Criterion Is Better Than the D-Criterion for Screening Designs
Jonathan Stallrich, North Carolina State University ; Katherine Moyer, North Carolina State University; Bradley Jones, JMP
Design Optimization Based on D-optimality for Multiple Responses
Damola Akinlana, University of South Florida ; Lu Lu, University of South Florida
Construction of Parallel Flats Designs
Robert Mee, University of Tennessee ; Chunyan Wang, Nankai University
A Multitaper Spectrum Estimator for Unevenly Sampled Time Series
Aaron Springford
250 *
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
The Future of Designed Experiments in the Era of Big Data — Invited Papers
Quality and Productivity Section , Section on Physical and Engineering Sciences
Organizer(s): Philip J Ramsey, University of New Hampshire; Maria Weese, Miami University
Chair(s): Maria Weese, Miami University
1:05 PM
Experimental Design Ideas in Data Science: An Overview
Byran JAY Smucker, Miami University (Ohio)
1:30 PM
The Role of Additivity in Causal Inference Under Interference
Daniel L Sussman, Boston University ; Kelly Kung, Boston University
1:55 PM
DOE: A Critical Component in the Data Scientist’s Toolbox
Abigael Nachtsheim, Arizona State University
2:20 PM
Designed Experiments in Data Science: A Pedagogical Evolution
Nathaniel Tyler Stevens, University of Waterloo
2:45 PM
Floor Discussion
253 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Innovations in AstroStatistics on Exploring Large Public Data — Invited Papers
Astrostatistics Special Interest Group , Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Quality and Productivity Section
Organizer(s): Hyungsuk Tak, Pennsylvania State University
Chair(s): Hyungsuk Tak, Pennsylvania State University
1:05 PM
Handling Model Uncertainty via Smoothed Inference
Sara Algeri, University of Minnesota
1:30 PM
Improving Exoplanet Detection Power: Multivariate Gaussian Process Models for Stellar Activity
David Edward Jones, Texas A&M University ; David Stenning, Imperial College London; Eric B Ford, Penn State University; Robert L Wolpert, Duke University; Thomas J Loredo, Cornell University; Xavier Dumusque, Observatoire Astronomique de l'Universite de Geneve
1:55 PM
Disentangling Stellar Activity and Planetary Signals Using Bayesian High-dimensional Analysis
Bo Ning, Yale University ; Jessi Cisewski-Kehe, Yale University; Allen Davis, Yale University; Parker Holzer, Yale University; Debra Fischer, Yale University
2:20 PM
Floor Discussion
265 *
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Innovations in Statistics for Astronomy and Space Physics — Topic Contributed Papers
SSC (Statistical Society of Canada) , Section on Physical and Engineering Sciences, Astrostatistics Special Interest Group, Quality and Productivity Section
Organizer(s): Gwendolyn M Eadie, University of Toronto
Chair(s): Aaron Springford
1:05 PM
The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
Renee Hlozek, University of Toronto
1:25 PM
Gibbs Point Process Model for Objects in the Star Formation Complexes of M33
Dayi Li, Western University ; Pauline Barmby, Western University; Ian McLeod, Western University
1:45 PM
Likelihood-Free Inference of Chemical Homogeneity in Open Clusters
Aarya Patil ; Jo Bovy, University of Toronto
2:05 PM
Bayesian Inference and Computation for Old Star Clusters
Gwendolyn M Eadie, University of Toronto ; Jeremy Webb, University of Toronto; Jeffrey Rosenthal, University of Toronto
2:25 PM
Incorporating Computer Simulations into Astrostatistical Analyses
David Stenning, Imperial College London
2:45 PM
Floor Discussion
271 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Statistical Modeling and Uncertainty Quantification for Atmospheric Remote Sensing Retrievals — Topic Contributed Papers
Section on Physical and Engineering Sciences , Section on Statistics and the Environment, Uncertainty Quantification in Complex Systems Interest Group, Quality and Productivity Section
Organizer(s): Anirban Mondal, Case Western Reserve University
Chair(s): Matthias Katzfuss, Texas A&M University
1:05 PM
Bayesian Uncertainty Quantification for Atmospheric CO2 Retrieval Using Functional Principal Component Based Emulators
Anirban Mondal, Case Western Reserve University ; Jonathan Hobbs, Jet Propulsion Laboratory; Pulong Ma, The Statistical and Applied Mathematical Sciences Institute; Emily Kang, University of Cincinnati ; Bledar Konomi, University of Cincinnati
1:25 PM
Accounting for Model Discrepancy in CO2 Retrievals
Jenny Brynjarsdottir, Case Western Reserve University
1:45 PM
Objective Frequentist Uncertainty Quantification for Atmospheric Carbon Dioxide Retrievals
2:05 PM
Functional ANOVA for Carbon Flux Estimates from Remote Sensing Data
2:25 PM
Forward Model Emulation for NASA’s Microwave Limb Sounder
2:45 PM
Floor Discussion
220187
Wed, 8/5/2020,
3:00 PM -
4:30 PM
Virtual
Section on Physical and Engineering Sciences Executive/Business Meeting — Other Cmte/Business
Survey Research Methods Section
Organizer(s): Morgan Earp, National Center for Health Statistics
Chair(s): Morgan Earp, National Center for Health Statistics
4:05 PM
Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: An Empirical Comparison
David Haziza, University of Ottawa ; Mehdi Dagdoug, Université de Bourgogne Franche Comté; Camelia Goga, Université de Bourgogne Franche Comté
4:30 PM
Computationally Efficient Bayesian Unit-Level Models for Non-Gaussian Data Under Informative Sampling
Scott Holan, University of Missouri ; Paul Parker, University of Missouri; Ryan Janicki, US Census Bureau
4:55 PM
Comparing the Performance of Alternative Imputation Methods for the Advance Monthly Retail Trade Survey
Katherine Jenny Thompson, U.S. Census Bureau ; Stephen Kaputa, U.S. Census Bureau; Nicole Czaplicki, U.S. Census Bureau; Brian Dumbacher, U.S. Census Bureau
5:20 PM
Design Consistent Random Forest Models for Survey Data
daniell toth, US Bureau of Labor Statistics ; Kelly McConville, Reed College
This is the normal Officers' Meeting for SPES, however since there will be no separate Business Meeting/Mixer, we invite all who are interested to participate.
