Online Program Home
My Program
All Times EDT
Legend:
* = applied session ! = JSM meeting theme
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
Mikael Kuusela, Carnegie Mellon University ; Pratik Patil, Carnegie Mellon University; Jonathan Hobbs, Jet Propulsion Laboratory
2:05 PM
Functional ANOVA for Carbon Flux Estimates from Remote Sensing Data
Jonathan Hobbs, Jet Propulsion Laboratory ; Matthias Katzfuss, Texas A&M University; Hai Nguyen, Jet Propulsion Laboratory; Vineet Yadav, Jet Propulsion Laboratory
2:25 PM
Forward Model Emulation for NASA’s Microwave Limb Sounder
Margaret Johnson, Jet Propulsion Laboratory ; Joaquim Teixeira, Jet Propulsion Laboratory; Nathaniel Livesey, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
2:45 PM
Floor Discussion
275 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Urban Analytics and the Role for University/City Partnerships — Topic Contributed Papers
Stats. Partnerships Among Academe Indust. & Govt. Committee , Social Statistics Section, Section on Physical and Engineering Sciences
Organizer(s): Katherine Ensor, Rice University
Chair(s): Alicia Carriquiry, Iowa State University
1:05 PM
Privatization of Data and Data Privacy- Local Data Flows
Presentation
Stephanie Shipp, Univ of Virginia, Biocomplexity Institute ; Sallie Ann Keller, Distinguished Professor in Biocomplexity, U of Virginia
1:25 PM
Spatial-Temporal Statistical Modeling in Support of Urban Resiliency
Katherine Ensor, Rice University
1:45 PM
Computational Approaches to Urban Sustainability Policy and Planning
Constantine Kontokosta
2:05 PM
Discussant: Tyler Kloefkorn, National Academies of Sciences, Engineering and Medicine
2:25 PM
Discussant: Robert L. Santos, Urban Institute
2:45 PM
Floor Discussion
309 *
Wed, 8/5/2020,
10:00 AM -
11:50 AM
Virtual
Interface Between Machine Learning and Uncertainty Quantification — Topic Contributed Papers
Uncertainty Quantification in Complex Systems Interest Group , Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Quality and Productivity Section
Organizer(s): Ana Kupresanin, Lawrence Livermore National Laboratory
Chair(s): Kathleen Schmidt, Lawrence Livermore National Laboratory
10:05 AM
On-Site Surrogates for Large-Scale Calibration
Jiangeng Huang, University of California Santa Cruz ; Robert Gramacy, Virginia Tech
10:25 AM
Calibrating Uncertainties in Deep Learning
Bhavya Kailkhura, Lawrence Livermore National Laboratory ; Jize Zhang, Lawrence Livermore National Lab
10:45 AM
Physics-Informed Machine Learning for Uncertainty Quantification in Land Models
Presentation
Khachik Sargsyan, Sandia National Laboratories ; Cosmin Safta, Sandia National Laboratories; Vishagan Ratnaswamy, Sandia National Laboratories
11:05 AM
Quantifying Model Transfer Uncertainties Using Post Hoc Explainability in Deep Learning Models
Evangelina Brayfindley, Pacific Northwest National Laboratory ; Thomas Grimes, Pacific Northwest National Lab
11:25 AM
Floor Discussion
348 *
Wed, 8/5/2020,
10:00 AM -
2:00 PM
Virtual
Statistical Engineering and Applications in Physical Sciences — Contributed Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section
Chair(s): Lyndsay Shand, Sandia National Laboratories
Similarity Evaluation of 3D Surface Topography Measurements in Additive Manufacturing
Qing Li, Iowa State University ; Shaodong Wang, Iowa State University; Xiao Zhang, Iowa State University; Yi Zheng, Iowa State University; Beiwen Li, Iowa State University; Hantang Qin, Iowa State University
A Statistical Approach to High-Throughput Chemistry
Nathan Josephs, Boston University ; Eric Kolaczyk, Boston University
A Hermite-Gaussian Based Radial Velocity Estimation Method
Parker Holzer, Yale University ; Jessi Cisewski-Kehe, Yale University; Debra Fischer, Yale University; Lily Zhao, Yale University
Monotone CDF Estimation for Binary Data by Kernel Regression and Evolution
David Collins, Los Alamos National Laboratory
Optimization of ReaxFF Parameters
Yao Song ; Ying Hung, Rutgers University; Tirthankar Dasgupta, Rutgers University
362
Wed, 8/5/2020,
10:00 AM -
2:00 PM
Virtual
Contributed Poster Presentations: Section on Physical and Engineering Sciences — Contributed Poster Presentations
Section on Physical and Engineering Sciences
1:
The Effects of Compression Forces on the Crowd Dynamics
Guillermo Frank, Universidad de Buenos Aires ; Ignacio Sticco, Universidad de Buenos Aires; Claudio Dorso, Universidad de Buenos Aires
2:
Is There ____ on Mars?: Disaggregation of LIBS Spectra
Natalie Klein ; Kary Myers, Los Alamos National Laboratory; Earl Lawrence, Los Alamos National Laboratory; Elizabeth Judge, Los Alamos National Laboratory; James Colgan, Los Alamos National Laboratory
3:
Adversarial Surrogacy
Nathan Wycoff, Virginia Tech ; Robert Gramacy, Virginia Tech
4:
Research on Weighting Method of Multiple Influence Matrix in Directed Weighted Network
Yan Wang
5:
Engineering Statistical Analysis and Visualization of Excavated Oil and Gas Pipeline Anomaly Depths to Matched Inline Inspection Estimates Using Power BI
William Harper, DNV GL ; Tara P McMahan, DNV GL; Benjamin R Hanna, DNV GL; Adriana Nenciu, Otterbein University
7:
Construction Results for Strong Orthogonal Arrays of Strength Three
Chenlu Shi, UNIVERSITY OF CALIFORNIA, LOS ANGELES
8:
Precision Aggregated Local Models
Adam Edwards ; Robert Gramacy, Virginia Tech
9:
Towards In-Situ Inference for Climate Extremes
Mary Dorn, Los Alamos National Laboratory ; Earl Lawrence, Los Alamos National Laboratory
10:
Multi-Resolution Approximations for Large Agricultural Data
Paul May ; Hossein Rekabdarkolaee
12:
Sequential Detection and Isolation of Correlation Structure
Anamitra Chaudhuri, UNIVERSITY OF ILLINOIS ; Georgios Fellouris, University of Illinois at Urbana Champaign
391 * !
Wed, 8/5/2020,
1:00 PM -
2:50 PM
Virtual
Mathematical and Statistical Synergies in Uncertainty Quantification — Invited Papers
Section on Physical and Engineering Sciences , Uncertainty Quantification in Complex Systems Interest Group, Quality and Productivity Section
Organizer(s): Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
Chair(s): Earl Lawrence, Los Alamos National Laboratory
1:05 PM
Mathematical Uncertainty Quantification for Science and Engineering Models
Ralph Smith, North Carolina State University
1:30 PM
Uncertainty Quantification of Coupled Multi-Physics Systems
Elaine Spiller, Marquette University
1:55 PM
Representing Certainties in Uncertainty Quantification: Constraints Versus Priors
Philip B Stark, University of California, Berkeley
2:20 PM
Floor Discussion
431 * !
Thu, 8/6/2020,
10:00 AM -
11:50 AM
Virtual
Astronomical(Ly) Big Data for Statisticians — Invited Papers
Section on Physical and Engineering Sciences , Astrostatistics Special Interest Group, Section on Statistical Consulting, Quality and Productivity Section
Organizer(s): Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian
Chair(s): Gwendolyn M Eadie, University of Toronto
10:05 AM
The Astrophysics Data Access Infrastructure
Presentation
Peter Kelsey George Williams, Center for Astrophysics | Harvard & Smithsonian
10:25 AM
X-Ray Data and Its Many Challenges
Kristin Madsen, Caltech
10:45 AM
Gaia Data: Challenges for the Exploitation of a Large and Complex Dataset
Presentation
Xavier Luri, Universitat de Barcelona ; Frederic Arenou, GEPI, Observatoire de Paris, Université PSL, CNRS
11:05 AM
Solar (Data) Explosion: Challenges in Using Large Astrophysical Imaging Data Sets
Katharine Reeves, Harvard-Smithsonian Center for Astrophysics
11:25 AM
Discussant: Xiao-Li Meng, Harvard University
11:45 AM
Floor Discussion
450 * !
Thu, 8/6/2020,
10:00 AM -
11:50 PM
Virtual
Uncertainty Quantification for Environmental Applications — Topic Contributed Papers
Section on Statistics and the Environment , Section on Physical and Engineering Sciences, ASA Advisory Committee on Climate Change Policy
Organizer(s): Whitney Huang, Clemson University
Chair(s): Veronica J Berrocal, University of California, Irvine
10:05 AM
Compression of Climate Simulations with a Nonstationary Global Spatio-Temporal SPDE Model
Stefano Castruccio, University of Notre Dame ; Geir-Arne Fuglstad, Norwegian University of Science and Technology
10:25 AM
Calibrating a WRF-Hydro Model Using a New Deep Learning-Based Calibration Method
Won Chang, University of Cincinnati ; Saumya Bhatnagar, Univ of Cincinnati - Cincinnati, OH; Jiali Wang, Argonne National Laboratory; Seonjin Kim, Miami University
10:45 AM
A Combined Physical-Statistical Approach for Estimating Storm Surge Risk
Whitney Huang, Clemson University ; Taylor Asher, University of North Carolina at Chapel Hill; Richard Luettich, University of North Carolina at Chapel Hill; Richard Smith, University of North Carolina at Chapel Hill
11:05 AM
Statistical Space-Time Characterization of Sub-Grid Air-Sea Exchanges Variability Including Scale Information
Julie Bessac, Argonne National Laboratory ; Adam Monahan, University of Victoria; Nils Weitzel, Universität Heidelberg; Kota Endo, University of Victoria; Hannah Christensen, University of Oxford
11:25 AM
Model Based Pixel-Level Satellite Image Fusion
Zhengyuan Zhu, Iowa State University
11:45 AM
Floor Discussion
539 *
Thu, 8/6/2020,
1:00 PM -
2:50 PM
Virtual
Challenging Signal Detection Problems in Astronomy — Topic Contributed Papers
Section on Physical and Engineering Sciences , Astrostatistics Special Interest Group, Quality and Productivity Section
Organizer(s): Eric Feigelson, Pennsylvania State University
Chair(s): Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian
1:05 PM
Challenges for Detecting Gravitational Wave Signals
Jess McIver, Univ of British Columbia
1:25 PM
Experimental Design and Discovery of Unknown Unknowns with the Rubin Observatory Legacy Survey of Space and Time
Federica Bianco, University of Delaware
1:45 PM
Statistical Opportunities and Challenges of Multiepoch Photometric Surveys
Tamas Budavari, The Johns Hopkins University
2:05 PM
A Multivariate Damped Random Walk Process for Irregularly-Spaced Multi-Filter Light Curves with Heteroscedastic Measurement Erros
Hyungsuk Tak, Pennsylvania State University ; Zhirui Hu, Harvard University
2:25 PM
Discussant: Eric Feigelson, Pennsylvania State University
2:45 PM
Floor Discussion
559 * !
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Foundations of Data Science: The TRIPODS Experience — Invited Papers
Section on Statistical Learning and Data Science , Committee on Funded Research, Section on Bayesian Statistical Science, Section on Physical and Engineering Sciences, Quality and Productivity Section
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Catherine Calder, University of Texas at Austin
3:05 PM
Build a Data Science Team
Hao Helen Zhang, University of Arizona
3:25 PM
Transdisciplinary Research Institute for Advancing Data Science (TRIAD @ Georgia Tech)
Xiaoming Huo, Georgia Institute of Technology
3:45 PM
Foundations of Data Science: Dynamical, Statistical and Economic Perspectives
Presentation
Michael I. Jordan, University of California, Berkeley
4:05 PM
Riemannian Embedding Models for Relational Data
Abel Rodriguez, University of California, Santa Cruz
4:45 PM
Floor Discussion
562 * !
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Statistical Methods for Multivariate Spatial and Spatio-Temporal Models with Application to the Environment — Invited Papers
Section on Statistics and the Environment , Section on Physical and Engineering Sciences, Uncertainty Quantification in Complex Systems Interest Group, Quality and Productivity Section
Organizer(s): Peter F. Craigmile, The Ohio State University
Chair(s): Peter F. Craigmile, The Ohio State University
3:05 PM
Evaluating Proxy Influence in Assimilated Paleoclimate Reconstructions: Testing the Exchangeability of Two Ensembles of Spatial Processes
Bo Li, University of Illinois at Urbana-Champaign ; Trevor Harris, University of Illinois at Urbana-Champaign; Nathan Steiger, Columbia University; Jason Smerdon, Columbia University; Naveen Narisetty, University of Illinois at Urbana-Champaign; Derek Tucker, Sandia National Lab
3:30 PM
Inference for Max-Stable Processes Based on the Vecchia Approximation, with Application to Red Sea Surface Temperature Extremes
Raphael Huser, King Abdullah University of Science and Technology (KAUST) ; Michael Stein, Rutgers University
3:55 PM
A Stochastic Tropical Cyclone Precipitation Field Generator
William Kleiber, University of Colorado ; Steve Sain, Jupiter Intelligence
4:20 PM
Multivariate Spatio-Temporal Point Process Models for Terrorism Patterns
Mikyoung Jun, Texas A&M University
4:45 PM
Floor Discussion
571 * !
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Emerging Issues in Uncertainty Quantification for Computer Experiments — Topic Contributed Papers
Section on Physical and Engineering Sciences , Uncertainty Quantification in Complex Systems Interest Group, Section on Bayesian Statistical Science, Quality and Productivity Section
Organizer(s): Pulong Ma, The Statistical and Applied Mathematical Sciences Institute
Chair(s): Pulong Ma, The Statistical and Applied Mathematical Sciences Institute
3:05 PM
Assessing Variable Activity for Bayesian Additive Regression Trees
Presentation
Akira Horiguchi, The Ohio State University ; Matthew Pratola, The Ohio State University; Thomas J Santner, The Ohio State University
3:25 PM
Orthogonal Decomposable Gaussian Processes of Large Incomplete Matrices
Mengyang Gu, University of California, Santa Barbara
3:45 PM
Sequential Design of High-Dimensional Multifidelity Computer Models
Bledar Konomi, University of Cincinnati ; Pulong Ma, The Statistical and Applied Mathematical Sciences Institute; Georgios Karagiannis, Durham University
4:05 PM
A Two-Stage Framework for Constraint Optimization in Computer Experiments with Applications in Materials Science
Jiazhao Zhang ; Ying Hung, Rutgers University
4:25 PM
Floor Discussion