Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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* = applied session ! = JSM meeting theme

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18 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Uncertainty Quantification Across the Boundaries — Topic-Contributed Papers
Uncertainty Quantification in Complex Systems Interest Group, Section on Physical and Engineering Sciences, Section on Statistics and the Environment
Organizer(s): Pulong Ma, Duke University / SAMSI
Chair(s): Whitney Huang, Clemson University School of Mathematical and Statistical Sciences
1:35 PM	Uncertainty Quantification in Space-Based Remote Sensing: The Good, the Bad, and the Ugly Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
1:55 PM	Entropy-Based Adaptive Design for Contour-Finding and Estimating Reliability Robert B Gramacy, Virginia Tech
2:15 PM	In Situ Uncertainty Quantification Natalie Klein, Los Alamos National Laboratory; Earl Lawrence, Los Alamos National Laboratory; Arthur Lui, Los Alamos National Laboratory; Mary Frances Dorn, Los Alamos National Laboratory; Yu Wang, University of Michigan
2:35 PM	Multi-Level Emulator for Multi-Fidelity Simulations Chih-Li Sung, Michigan State University
2:55 PM	Uncertainty Quantification in Assessing Storm Surge Hazards Pulong Ma, Duke University / SAMSI
3:15 PM	Floor Discussion

28	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Computation, Design, and Quality Assurance of Physical Science and Engineering Applications — Contributed Speed
Section on Physical and Engineering Sciences
Chair(s): Ana Maria Estrada Gomez, Georgia Institute of Technology
1:35 PM	Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests Purvasha Chakravarti, Imperial College London; Mikael Kuusela, Carnegie Mellon University; Jing Lei, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
1:40 PM	Missing-Data Coherency Estimation Charlotte Haley, Argonne National Laboratory
1:45 PM	Scalable Statistical Inference of Photometric Redshift via Data Subsampling arindam fadikar, argonne national laboratory; Stefan M Wild, argonne national laboratory; Jonas Chaves-Montero, Donostia International Physics Centre
1:50 PM	Statistical Computation of Thermal Conductivity in Neutron Star Matter 'Pastas' Guillermo Frank, Universidad Tecnolo?gica Nacional, Facultad Regional Buenos Aires; Claudio Dorso, Instituto de F??sica de Buenos Aires, CONICET; Alejandro Strachan, School of Materials Engineering, Purdue University
1:55 PM	Measurements of Photonicity in Optically-Dense, Multiphoton-Reactive Systems Peter Hovey, University of Dayton; Mark Masthay, University of Dayton; Wenyue Wang, University of Dayton; David Johnson, University of Dayton; Merritt Helvenston, New Mexico Highlands University
2:00 PM	Determining the Accuracy and Precision of DEEP2 Spectroscopic and Photometric Galaxy Redshift Measurements Using a Measurement Error Model Richard Anthony Bilonick, R. A. Bilonick Statistics Consultancy LLC
2:05 PM	Latent Function Calibration to Estimate Shock Hugoniots Scott Vander Wiel, Los Alamos National Laboratory
2:10 PM	Learning and Deploying Active Subspaces on Black Box Simulators Nathan Wycoff, Virginia Tech; Mickaël Binois, INRIA; Stefan M Wild, argonne national laboratory; Robert B Gramacy, Virginia Tech
2:15 PM	Statistical Emulation with Dimension Reduction for Complex Forward Models in Remote Sensing Gang Yang, University of Cincinnati; Emily Kang, University of Cincinnati; Bledar Alex Konomi, University of Cincinnati; Jonathan Hobbs, Jet Propulsion Laboratory, California Institute of Technology
2:20 PM	Comparing Initial Designs for Bayesian Optimization Kasia Dobrzycka, North Carolina State University Statistics Department; Jon Stallrich, North Carolina State
2:30 PM	Empirical Estimation of the Effect of Frequency Content of Earthquake Ground Motions on Structural Collapse Risk Based on Generalized Linear Model Min Shu, University of Wisconsin Stout; Ruiqiang Song, Michigan Technological University
2:35 PM	Statistical Analysis of Oil and Gas Pipelines to Predict Pipe Grade Using Power BI William V Harper, DNV; Thomas A Bubenik, DNV; Tara P McMahan, DNV; Benjamin R Hanna, DNV; Steven J Polasik, DNV; Adriana P Nenciu, Otterbein University; Stacy G Hickey, DNV; David J Stucki, Otterbein University
2:40 PM	Estimating and Comparing the Stable Crack Growth Region for Additively Manufactured Metals Lucas Koepke, National Institute of Standards and Technology; Jolene Splett, National Institute of Standards and Technology; Nik Hrabe, National Institute of Standards and Technology; Jake Benzing, National Institute of Standards and Technology; Timothy Quinn, National Institute of Standards and Technology
2:45 PM	Multiple Objective Latin Hypercube Designs for Computer Experiments Damola Akinlana, University of South Florida; Lu Lu, University of South Florida
2:50 PM	Neural Network for Prediction of Functional Data Presentation Weiru Han, Department of Mathematics & Statistics, University of South Florida; Lu Lu, University of South Florida; Jiangfeng Zhou, Department of Physics, University of South Florida
2:55 PM	A Generalized Bayesian CUSUM Control Chart Chelsea Jones, Virginia Commonwealth University; D'Arcy Mays, Virginia Commonwealth University; AbdelSalam AbdelSalam, Qatar University
3:00 PM	Robust Multivariate CUSUM for Phase II Profile Monitoring AbdelSalam AbdelSalam, Qatar University
3:05 PM	Risk Score Monitoring Using Change Point Detection and its Application in Health Management Presentation Yuhui Yao, The University of Alabama; Subha Chakraborti, The University of Alabama; Xin Yang, The University of Alabama; Jason Parton, The University of Alabama; Dwight Lewis, The University of Alabama; Matthew Hudnall, The University of Alabama
3:10 PM	Modified Control Chart for Monitoring the Process Dispersion Felipe Schoemer Jardim, Fluminense Federal University; Subha Chakraborti, The University of Alabama; Tiago Landim, Federal University of São Carlos ; Pedro Oprime, Federal University of São Carlos

3:15 PM	Floor Discussion

32 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Answers to Astrophysical Questions: A Vital Chapter in the Chase for New Discoveries — Invited Papers
Section on Statistical Computing, Section on Physical and Engineering Sciences, Section on Nonparametric Statistics
Organizer(s): Sara Algeri, University of Minnesota
Chair(s): Sara Algeri, University of Minnesota
3:35 PM	Low-Hanging Fruit: Common Analysis Problems in Astronomy Without Statistically Principled Solutions Presentation Vinay L. Kashyap, Center for Astrophysics \| Harvard & Smithsonian
3:55 PM	Hide-and-Seek: Finding Earth Analogs Hidden in Extreme Precision Radial Velocity Spectra Jessi J. Cisewski-Kehe, University of Wisconsin-Madison
4:15 PM	Finding cosmic filament by the directional ridge finding algorithm Yikun Zhang, University of Washington, Seattle; Yen-Chi Chen, University of Washington
4:35 PM	Advances in statistical learning for new physics searches when either the signal or the background is unknown Mikael Kuusela, Carnegie Mellon University; Purvasha Chakravarti, Imperial College London; Larry Wasserman, Carnegie Mellon University; Jing Lei, Carnegie Mellon University; Tudor Manole, Carnegie Mellon University; Patrick Bryant, Carnegie Mellon University; John Alison, Carnegie Mellon University
4:55 PM	Discussant: David A van Dyk, Imperial College London
5:15 PM	Floor Discussion

37 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Advances in Statistical Climatology — Invited Papers
Section on Statistics and the Environment, ASA Advisory Committee on Climate Change Policy, Section on Physical and Engineering Sciences
Organizer(s): Whitney Huang, Clemson University School of Mathematical and Statistical Sciences
Chair(s): Won Chang, University of Cincinnati
3:35 PM	Calibration of Spatial Forecasts from Citizen Science Urban Air Pollution Data with Sparse Recurrent Neural Networks Stefano Castruccio, University of Notre Dame; Matthew Bonas, University of Notre Dame
4:00 PM	Detection of Local Differences in Spatial Characteristics Between Two Climate Fields Sooin Yun, UIUC; Xianyang Zhang, Texas A&M University; Bo Li, University of Illinois at Urbana Champaign
4:25 PM	Attribution of the 2020 Colorado Fire Season by Transformed-linear Time Series Models for Extremes Daniel Cooley, Colorado State University; Nehali Mhatre, Colorado State University
4:50 PM	Discussant: Michael Stein, Rutgers University
5:10 PM	Floor Discussion

81 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Statistical and Machine Learning Efforts on Solar Flare Predictions I — Topic-Contributed Papers
Section on Physical and Engineering Sciences, Astrostatistics Special Interest Group, Section on Statistical Learning and Data Science
Organizer(s): Yang Chen, University of Michigan
Chair(s): Yang Chen, University of Michigan
10:05 AM	The Statistical Challenges of Solar Flare Forecasting (and) the Discriminant Analysis Flare Forecasting System at NWRA KD Leka, NorthWest Research Associates; Graham Barnes, NorthWest Research Associates
10:25 AM	Multivariate Time Series Data Set for Space Weather Data Analytics Rafal Angryk, Georgia State University
10:45 AM	Improving and Interpreting Flare Prediction with Spatial Statistics Analysis of the Magnet Field Data Hu Sun, University of Michigan, Ann Arbor; Ward Manchester, University of Michigan, Ann Arbor; Yang Chen, University of Michigan
11:05 AM	Floor Discussion

105 !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Inference for Networks and Graph-Structured Data — Invited Papers
Section on Physical and Engineering Sciences, Section on Nonparametric Statistics, Section on Statistical Graphics
Organizer(s): Joshua Cape, University of Pittsburgh
Chair(s): Joshua Cape, University of Pittsburgh
1:35 PM	Permutation Tests for Infection Graphs Po-Ling Loh, UW-Madison
1:55 PM	Subsampling and Jackknife for Networks Purnamrita Sarkar, University of Texas, Austin
2:15 PM	Inference in a Nonhomogeneous Multilayer Stochastic Block Model Marianna Pensky, University of Central Florida
2:35 PM	Nonparametric Link Prediction for Networks and Bipartite Graphs Jiashen Lu, University of Pittsburgh; Kehui Chen, University of Pittsburgh
2:55 PM	Scalable Estimation of Random Graph Models with Dependent Edges and Parameter Vectors of Increasing Dimension Michael Schweinberger, Rice University; Jonathan R. Stewart, Florida State University
3:15 PM	Floor Discussion

107 !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Storytelling with Dynamic Interactive Data Visualizations — Invited Papers
Section on Statistical Graphics, Section on Physical and Engineering Sciences, Quality and Productivity Section
Organizer(s): A Blanton Godfrey, North Carolina State University
Chair(s): A Blanton Godfrey, North Carolina State University
1:35 PM	Interactive Data Visualizations: Communicating Results to a Broad Audience Ruth M Hummel, SAS Institute / JMP Division
2:00 PM	Writing Code Is the Easy Part: Lessons from Creating a Public-Facing Dashboard Nola du Toit, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
2:25 PM	Supporting the Reduction of Maternal and Child Mortality Through Data Visualization Storytelling Shaghayegh R Arangdad, North Carolina State University; A Blanton Godfrey, North Carolina State University
2:50 PM	Discussant: Lori Rothenberg, North Carolina State University
3:10 PM	Floor Discussion

163 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Understanding a Data-Rich Universe with Data-Driven Approaches — Topic-Contributed Panel
Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Astrostatistics Special Interest Group
Organizer(s): Joshua Shen Speagle, University of Toronto
Chair(s): Joshua Shen Speagle, University of Toronto
10:05 AM	Understanding a Data-Rich Universe with Data-Driven Approaches
Panelists:	Boris Leistedt, Imperial College London Aarya Patil, University of Toronto Stephen Portillo, University of Washington Miles Cranmer, Princeton University Kaisey Mandel, University of Cambridge
11:40 AM	Floor Discussion

220789	Tue, 8/10/2021, 12:00 PM - 1:20 PM
Section on Physical and Engineering Sciences Executive Committee/Business Meeting — Other Cmte/Business
Section on Physical and Engineering Sciences
Organizer(s): Jennifer Kensler, Shell Global Solutions

188 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Innovative Applications of Design of Experiments — Invited Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences
Organizer(s): Christine M Anderson-Cook, Los Alamos National Laboratory
Chair(s): Michael Grosskopf, Los Alamos National Laboratory
1:35 PM	Seeds, Science, and Sustainability: Designing Experiments to Direct Plant Microbiome Evolution for Food Security in a Changing Climate Abigael Nachtsheim, Los Alamos National Laboratory
2:00 PM	Optimizing the Online User Experience: Design and Analysis of A/B Tests with Bayesian Comparative Probability Metrics Nathaniel T Stevens, University of Waterloo
2:25 PM	To the Moon and Back Again: Designing Computer Experiments to Resolve a Controversy in Fundamental Physics Brian Weaver, Los Alamos National Laboratory
2:50 PM	Design of Experiments Approaches for Investing and Improving Machine Learning Robustness Laura Freeman, Virginia Tech
3:15 PM	Floor Discussion

197 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
New Methods for Scalable Nonstationary Spatial Statistics — Topic-Contributed Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, Section on Statistical Computing
Organizer(s): Matthias Katzfuss, Texas A&M University
Chair(s): Marcin Jurek, University of Texas
1:35 PM	Geostatistics Meets Variable Selection: Multi-Scale Models for Nonstationary Spatial Fields Bruno Sansó , University of California, Santa Cruz; Daniel Kirsner, Chase Bank
1:55 PM	Modeling Massive Multivariate Spatial Data with the Basis Graphical Lasso William Kleiber, University of Colorado Boulder; Mitchell Krock, Rutgers University; Dorit Hammerling, Colorado School of Mines
2:15 PM	Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields Matthias Katzfuss, Texas A&M University; Florian Schaefer, Caltech
2:35 PM	Non-Homogeneous Poisson Process Intensity Modeling and Estimation Using Measure Transport Tin Lok James Ng, Trinity College Dublin; Andrew Zammit-Mangion, University of Wollongong
2:55 PM	Discussant: Emily Kang, University of Cincinnati
3:15 PM	Floor Discussion

217 !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
High-Fidelity Gaussian Process Surrogate Modeling: Deep and Shallow — Invited Papers
Section on Physical and Engineering Sciences
Organizer(s): Anindya Bhadra, Purdue University; Robert B Gramacy, Virginia Tech
Chair(s): Robert B Gramacy, Virginia Tech
10:05 AM	Computer Model Emulation and Uncertainty Quantification Using a Deep Gaussian Process Derek Bingham, Simon Fraser University; Ilya Mandel, School of Physics and Astronomy, Monash University; Daniel Williamson, University of Exeter; Faezeh Yazdi, Simon Fraser University
10:30 AM	Active Learning for Deep Gaussian Process Surrogates Annie Sauer, Virginia Tech
10:55 AM	Beyond Matérn: On a Class of Interpretable Confluent Hypergeometric Covariance Functions Pulong Ma, Duke University / SAMSI; Anindya Bhadra, Purdue University
11:20 AM	DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction Yuxiao Li, King Abdullah University of Science and Technology (KAUST); Ying Sun, King Abdullah University of Science and Technology (KAUST); Brian Reich, North Carolina State University
11:45 AM	Floor Discussion

253	Wed, 8/11/2021, 12:00 PM - 1:20 PM	Virtual
Section on Physical and Engineering Sciences P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Physical and Engineering Sciences
WL07:	The Use of Bayesian Methods in Reliability Data Analyses William Q Meeker, Iowa State University

272 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Data Science and Statistics in Pharmaceutical Engineering and Experimental Studies: Where Is It? Where Is It Going? — Invited Panel
Biopharmaceutical Section, Section on Physical and Engineering Sciences, Pharmaceutical Research and Manufacturers of America
Organizer(s): Stan Altan, Janssen Pharmaceutical R&D
Chair(s): Stan Altan, Janssen Pharmaceutical R&D
1:35 PM	Data Science and Statistics in Pharmaceutical Engineering and Experimental Studies: Where Are They, Where Are They Going?
Panelists:	Mark Daniel Ward, Purdue University Terri Bui, Merck & Co. Ke Wang, Pfizer, Inc. Jonathan E. Allen, Lawrence Livermore Nattional Laboratory Huanyu Zhou, Teva Pharmaceutical Industries Ltd.
3:15 PM	Floor Discussion

274	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
SPES and Q&P Student Paper Award — Topic-Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section
Organizer(s): Claire McKay Bowen, Urban Institute
Chair(s): Claire McKay Bowen, Urban Institute
1:35 PM	Order-of-Addition Mixture Experiments Nicholas Anthony Rios, Pennsylvania State University; Dennis K.J. Lin, Purdue University
1:55 PM	An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data Ana Maria Estrada Gomez, Georgia Institute of Technology; Dan Li, Georgia Institute of Technology; Kamran Paynabar, Georgia Institute of Technology
2:15 PM	Multi-Model Penalized Regression Laura Wendelberger, North Carolina State University; Brian Reich, North Carolina State University; Alyson Wilson, North Carolina State University
2:35 PM	APIK: Active Physics-Informed Kriging Model with Partial Differential Equations Jialei Chen, Georgia Tech; Zhehui Chen, Georgia Tech; Chuck Zhang , Georgia Tech; Jeff Wu, Georgia Tech
2:55 PM	Computer Experiments with Multiple Mesh Density Variables Shaowu Yuchi, Georgia Institute of Technology; Roshan V Joseph, Georgia Institute of Technology; Jeff Wu, Georgia Tech
3:15 PM	Floor Discussion

314 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Challenges in Cosmology — Topic-Contributed Papers
Section on Nonparametric Statistics, Astrostatistics Special Interest Group, Section on Statistical Learning and Data Science, Section on Physical and Engineering Sciences
Organizer(s): Collin A Politsch, Carnegie Mellon University
Chair(s): Jessi J. Cisewski-Kehe, University of Wisconsin-Madison
3:35 PM	Three-Dimensional Cosmography of the High Redshift Universe Using Intergalactic Absorption Collin A Politsch, Carnegie Mellon University; Jessi J. Cisewski-Kehe, University of Wisconsin-Madison; Rupert Croft, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
3:55 PM	Stratified Learning: a general-purpose statistical method for improved learning under Covariate Shift Maximilian Autenrieth, Imperial College London; David A van Dyk, Imperial College London; Roberto Trotta, Imperial College London, International School for Advanced Studies (Trieste); David C Stenning, Simon Fraser University
4:15 PM	Cosmological Parameter Inference in Photometric Surveys: An Inverse Problem Markus Michael Rau, Carnegie-Mellon-University
4:35 PM	Learning to Predict Structure Formation in the Universe Presentation Yin Li, Flatiron Institute
4:55 PM	Discussant: Chad Schafer, Carnegie Mellon University
5:15 PM	Floor Discussion

341 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Change-Point Models in Quality Control Applications — Topic-Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences
Organizer(s): Emmanuel Yashchin, IBM Research
Chair(s): Julie Beckley, Netflix Corporation
10:05 AM	More Advances on CUSUM Charts for Count Data Sven Knoth, Helmut Schmidt University Hamburg, Germany
10:25 AM	Change-in-Covariance Testing in Factor Models and Applications Ansgar Steland, RWTH Aachen University
10:45 AM	Monitoring Image Processes Wolfgang Schmid, European University
11:05 AM	Detection of Temporary System Failures Michael Baron, American University; Sergey V. Malov, Theodosius Dobzhansky Center for Genome Bioinformatics, St.-Petersburg State University
11:25 AM	Change-point methods in disturbance identification and probabilistic labeling of events Emmanuel Yashchin, IBM Research; Nianjun Zhou, IBM Research; Anuradha Bhamidipaty, IBM Research
11:45 AM	Floor Discussion

354	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Experimental Design and Reliability — Contributed Speed
Section on Physical and Engineering Sciences
Chair(s): Nathaniel T Stevens, University of Waterloo
10:05 AM	On the Role of Minimum Variances in Weighted Optimal Designs Katherine Allen-Moyer, North Carolina State University; Jon Stallrich, North Carolina State
10:10 AM	A New Confidence Interval-Based Criterion for Screening Designs Michael McKibben, North Carolina State University Statistics Department; Jon Stallrich, North Carolina State
10:15 AM	Structure of Nonregular Two-Level Designs David Edwards, Virginia Commonwealth University
10:20 AM	Gaussian Process structure for the emulation of deterministic and stochastic solvers: a simulation study Luca Pegoraro, University of Padova; Luigi Salmaso, University of Padova; Riccardo Ceccato, University of Padova; Rosa Arboretti, University of Padova
10:25 AM	A Simple Gaussian Process Modeling Approach for Experiments with Quantitative-Sequence Factors Yanran Wei, Virginia Tech; X D, Department of Statistics, Virginia Polytechnic Institute and State University
10:30 AM	Optimal Designs for Model Selection Under Penalized Estimation Jon Stallrich, North Carolina State; Maria Weese, Miami University; Byran J Smucker, Miami University; David Edwards, Virginia Commonwealth University
10:35 AM	Optimal Design of Experiment for Validation of Complex Computer Models from Operational Data Ethan Davis, North Carolina State University; Jon Stallrich, North Carolina State
10:40 AM	A Minimum Aberration Type Criterion for Selecting Space-Filling Designs Presentation Ye Tian, University of California, Los Angeles; Hongquan Xu, University of California, Los Angeles
10:45 AM	Optimal Designs for Some Bivariate Cokriging Models Subhadra Dasgupta, IITB-Monash Research Academy; Siuli Mukhopadhyay, Indian Institute of Technology Bombay; Jonathan Keith, Monash University
10:50 AM	Optimal Design Construction with Respect to Several Probability Distributions Using Clustering Approach Muditha Lakmali , University of Manitoba; Saumen Mandal, University of Manitoba
11:00 AM	Analysis and Optimization of Split-Plot Operating Window Experiments: Methodology and Application JUAN WANG, Nanchang hangkong university
11:05 AM	A Consistent Estimator of Nontrivial Stationary Solutions of Dynamic Neural Fields Eddy Kwessi, Trinity University
11:10 AM	Inference for the Progressively Type-I Censored $K$-Level Step-Stress Accelerated Life Tests Under Interval Monitoring with the Lifetimes from a Log-Location-Scale Family Herath M.A.K Jayathilaka, UTSA; David Han, UTSA
11:15 AM	Adaptive Design and Inference for a Step-Stress Accelerated Life Test Haifa Ismail-Aldayeh, University of Texas at San Antonio; David Han, UTSA
11:20 AM	Design Optimization for the Step-Stress Accelerated Degradation Tests based on Exponential Dispersion Process David Han, UTSA
11:25 AM	Reliability for Ordinal Data in Forensics Hina Arora, University of California Irvine; Naomi Kaplan Damary, Postdoctoral scholar, University of California, Irvine; Hal Stern, University of California Irvine
11:30 AM	Bayesian Designs for Progressively Type-I Censored Simple Step-Stress Accelerated Life Tests Under Cost Constraint and Order-Restriction Based on a Three-Parameter Gamma Prior Crystal Dawn Wiedner, University of Texas at San Antonio; David Han, UTSA

382	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Statistical and Machine Learning Efforts on Solar Flare Predictions II — Topic-Contributed Papers
Section on Physical and Engineering Sciences
Organizer(s): Yang Chen, University of Michigan
Chair(s): Alfred O. Hero, III, University of Michigan
12:05 PM	Predicting Solar Flare Index Using Statistical And Machine Learning Methods Zuofeng Shang, New Jersey Institute of Technology; Hewei Zhang, New Jersey Institute of Technology
12:25 PM	Identifying Flux Rope Signatures Based on ‘Human’ and ‘Machine Learning’ Techniques Teresa Nieves-chinchilla, Heliophysics Science Division of the Goddard Space Flight Center (GSFC)
12:45 PM	Gaussian Graphical Models for Active Region Modeling and Flare Prediction Presentation Yu Wang, University of Michigan; Alfred O. Hero, III, University of Michigan
1:05 PM	Discussant: Graham Barnes, NorthWest Research Associates
1:25 PM	Discussant: Yang Chen, University of Michigan
1:45 PM	Floor Discussion

435 *	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Volume, Velocity, and Variety in Environmental Statistics: New Perspectives and Methods — Topic-Contributed Papers
Section on Statistics and the Environment, ASA Advisory Committee on Climate Change Policy, Section on Physical and Engineering Sciences
Organizer(s): Stefano Castruccio, University of Notre Dame
Chair(s): Stefano Castruccio, University of Notre Dame
4:05 PM	Estimating Concurrent Climate Extremes: A Conditional Approach Whitney Huang, Clemson University School of Mathematical and Statistical Sciences; Adam Monahan, University of Victoria; Francis Zwiers, University of Victoria
4:25 PM	An Interaction Neyman-Scott Point Process Model for Coronavirus Disease-19 Won Chang, University of Cincinnati; Jaewoo Park, Yonsei University; Boseung Chio, Korea University
4:45 PM	Stochastic Weather Generator for Hourly Temperature in the Midwest Julie Bessac, Argonne National Laboratory; Michael Stein, Rutgers University; Mihai Anitescu, Argonne National Laboratory
5:05 PM	ssessing the Reliability of Wind Power Operations under a Changing Climate with a Non-Gaussian Bias Correction Jiachen Zhang, University of Notre Dame; Stefano Castruccio, University of Notre Dame; Marc Genton, King Abdullah University of Science and Technology; Paola Crippa, University of Notre Dame
5:25 PM	KAUST Competition on Spatial Statistics for Large Data Sets Huang Huang, King Abdullah University of Science and Technology
5:45 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association