Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

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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

220179	Wed, 8/5/2020, 4:00 PM - 5:30 PM	Virtual
Uncertainty Quantification for Complex Systems Interest Group Meeting — Other Cmte/Business
Uncertainty Quantification in Complex Systems Interest Group
Chair(s): Ana Kupresanin, Lawrence Livermore National Laboratory

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

JSM 2020 Online Program

Activity Details

American Statistical Association