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* = applied session ! = JSM meeting theme
Activity Details
109 * !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Model Uncertainty: Mathematical and Statistical — Invited Papers
Statistical and Applied Mathematical Sciences Institute , Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): James Berger, DUKE UNIVERSITY
Chair(s): James Berger, DUKE UNIVERSITY
1:05 PM
MUMS at SAMSI
E Bruce Pitman, University at Buffalo
1:30 PM
Bayesian Model Emulation, Calibration and Prediction Applied to Stochastic Simulation
Dave Higdon, Virginia Tech
1:55 PM
Bayesian CUSP Catastrophe Model for Sudden Change
Zhuoqiong He, University of Missouri
2:20 PM
Discussant: Elaine Spiller, Marquette University
2:45 PM
Floor Discussion
162 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Recent Development in Data Fusion — Topic Contributed Papers
Section on Bayesian Statistical Science , Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Dongchu Sun, University of Nebraska-LIncoln
Chair(s): Zhuoqiong He, University of Missouri
10:05 AM
Bayesian Data Fusion for Combining Large Electronic Health Records and Small Clinical Validation Data
Ye Liang
10:25 AM
Data Fusion Using Summary Versus Individual Data: Relative Efficiency for Random-Effects Models
Dungang Liu, University of Cincinnati ; Ding-Geng Chen, The University of North Carolina Chapel Hill; Xiaoyi Min, Georgia State University; Heping Zhang, Yale University
10:45 AM
Bayesian Spline Approach to Multi-Output Regression Problems
Cong Lin, East China Normal University ; Dongchu Sun, University of Nebraska-LIncoln; Chengyuan Song, East China Normal University
11:05 AM
A Bayes Perspective on Model Average Predictors
Tri Le, Mercer Univ - Atlanta ; Bertrand Clarke, U. Nebraska-Lincoln
11:25 AM
Multivariate Spectral Downscaling for PM2.5 Species
Yawen Guan, University of Nebraska-Lincoln ; Brian Reich, North Carolina State University; James Mulholland, Georgia Tech; Howard Chang, Emory University
11:45 AM
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
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
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
546
Thu, 8/6/2020,
1:00 PM -
2:50 PM
Virtual
Foundational Issues in Machine Learning — Topic Contributed Papers
Section on Statistical Learning and Data Science , Uncertainty Quantification in Complex Systems Interest Group, Section on Risk Analysis, Section on Statistical Computing
Organizer(s): Bertrand Clarke, U. Nebraska-Lincoln
Chair(s): Tri Le, Mercer Univ - Atlanta
1:05 PM
Joint Robust Multiple Inference on Large-Scale Multivariate Regression
Wen Zhou, Colorado State University ; Wenxin Zhou, University of California, San Diego; Youngseok Song, Colorado State University
1:25 PM
BET on Independence
Kai Zhang, UNC Chapel Hill
1:45 PM
Sparse Logistic Classification Using Multi-Type Predictors
Arkaprava Roy, University of Florida ; Bertrand Clarke, U. Nebraska-Lincoln; Subhashis Ghosal, NCSU; Diego Jarquin, UNL
2:05 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
567 *
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
New Approaches for Sparse Gaussian Processes — Invited Papers
Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Earl Lawrence, Los Alamos National Laboratory
Chair(s): Leanna House, Virginia Tech
3:05 PM
Distributed Spatiotemporal Inference Embedded in High-Fidelity Physics Simulators Using Sparse Gaussian Processes
Michael Grosskopf, Los Alamos National Laboratory ; Earl Lawrence, Los Alamos National Laboratory; Nathan Urban, Los Alamos National Laboratory; Mary Dorn, Los Alamos National Laboratory; Ayan Biswas, Los Alamos National Laboratory
3:35 PM
Sparse Additive Gaussian Process Regression
Hengrui Luo, The Ohio State University; Giovanni Nattino, L'Istituto di Ricerche Farmacologiche Mario Negri IRCCS desidera; Matthew Pratola, The Ohio State University
4:05 PM
Gaussian-Process Approximations for Big Data
Matthias Katzfuss, Texas A&M University ; Joseph Guinness, Cornell University
4:35 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