Name: 2022 Joint Statistical Meetings
Start: 2022-08-06T07:00:00+00:00
End: 2022-08-11
Location: Walter E. Washington Convention Center

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Legend:
CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme

Activity Details

7 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-144B
Advances in Multivariate Spatial Process Modeling for Environmental Data — Invited Papers
Section on Statistics and the Environment, Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Will Kleiber, University of Colorado; Pulong Ma, Clemson University
Chair(s): Pulong Ma, Clemson University
2:05 PM	Bayesian Global Flux-Inversion of Carbon Dioxide Fluxes via Multivariate Models Constructed Through Conditioning Presentation Andrew Zammit Mangion, University of Wollongong; Michael Bertolacci, University of Wollongong; Noel Cressie, University of Wollongong; Jenny Fisher, University of Wollongong; Beata Bukosa, NIWA; Yi Cao, University of Wollongong
2:25 PM	Multivariate Spatial Hawkes Process Models on Spheres Mikyoung Jun, University of Houston
2:45 PM	Multivariate Localization Functions for Use in Strongly Coupled Data Assimilation Zofia Claire Stanley, CIRES/NOAA PSL; Ian Grooms, University of Colorado, Boulder; Will Kleiber, University of Colorado
3:05 PM	Multivariate Spatial Modeling in GpGp Joe Guinness, Cornell University
3:25 PM	Discussant: Douglas Nychka, Colorado School of Mines
3:45 PM	Floor Discussion

41 !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-144C
Mitigating Spatial Confounding: A Modern Take — Invited Papers
ENAR, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Abhi Datta, Johns Hopkins University
Chair(s): Abhi Datta, Johns Hopkins University
4:05 PM	Rethinking Spatial Confounding: Determining When Adjustment Improves Inference in Spatial Linear Mixed Models Kori Khan, Iowa State University; Candace Berrett, Brigham Young University
4:35 PM	Estimating Spatially Varying Health Effects of Wildland Firesmoke Using Mobile Health Data Lili James Wu, North Carolina State University; Shu Yang, North Carolina State University; Brian James Reich, North Carolina State University; Ana Rappold, US Environmental Protection Agency
5:05 PM	A Causal Inference Framework to Address Spatial Confounding in Geostatistics Brian Gilbert, Johns Hopkins University; Abhi Datta, Johns Hopkins University; Joan A Casey, Columbia University; Elizabeth Ogburn, Johns Hopkins University
	Discussant: Corwin Zigler, University of Texas at Austin
5:35 PM	Floor Discussion

50 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-158AB
Industry Applications for Environmental Statistics — Topic Contributed Papers
Section on Statistics and the Environment, Section on Statistical Learning and Data Science, Committee on Applied Statisticians
Organizer(s): Maria A Terres, Waymo
Chair(s): Maria A Terres, Waymo
4:05 PM	Autonomously Driven Vehicles and the Weather Around Them Jiabin Liu, Waymo
4:25 PM	Environmental Statistics in Computational Agriculture David Clifford, X, the moonshot factory
4:45 PM	Data Science and Applied Statistics in Climate Risk Analysis Alexis Hoffman, Jupiter Intelligence
5:05 PM	Using Physics-Informed Machine Learning to Generate Global Medium-Range Probabilistic Weather Forecasts Steven Joel Brey, Tomorrow.io; Ashley Payne, Tomorrow.io; Stelios flampouris, Tomorrow.io
5:25 PM	Floor Discussion

69 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-156
Statistical Methods in Ecology — Contributed Papers
Section on Statistics and the Environment
Chair(s): Michael Dumelle, United States Environmental Protection Agency (USEPA)
4:05 PM	Comparative Analysis of Binary Similarity Measures in Mass Spectrometry-Based Metabolomics Seongho Kim, Wayne State University/Karmanos Cancer Institute; Ikuko Kato, Wayne State University/Karmanos Cancer Institute; Xiang Zhang, University of Louisville
4:20 PM	Spatial Functional Data Modeling of Plant Reflectances Philip White, BYU; Henry Frye, University of Connecticut; Michael Christensen, Duke University; Alan E. Gelfand, Duke University; John A Silander, Jr., University of Connecticut
4:35 PM	Machine Learning for Identifying Plant-Microbiome Interactions Anastasiia Kim, Los Alamos National Laboratory; Eric Moore, Los Alamos National Laboratory; Sanna Sevanto, Los Alamos National Laboratory; Nicholas Lubbers, Los Alamos National Laboratory
4:50 PM	Temporal Preferential Sampling for Population Dynamics Michael Richard Schwob, University of Texas at Austin; Mevin Hooten, University of Texas at Austin; Travis McDevitt-Galles, National Wildlife Health Center, USGS
5:05 PM	Generalized Linear Network Models with Application to Multi-Species Count Distributions from the ForestGEO Database Nels Johnson, USDA Forest Service, Pacific Southwest Research Station; Susan Cordell, USDA Forest Service, Institute of Pacific Island Forestry; Christian Giardina, USDA Forest Service, Institute of Pacific Island Forestry; Amanda Uowolo, USDA Forest Service, Institute of Pacific Island Forestry; Inyoung Kim, Virginia Tech
5:20 PM	Community Confounding in Joint Species Distribution Models Justin James Van Ee, Colorado State University; Mevin Hooten, University of Texas at Austin; Jacob Ivan , Colorado Parks and Wildlife
5:35 PM	Floor Discussion

91 * !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-202A
Spatial Statistics and UQ: Foundations for Innovation in Environmental Science — Invited Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, Korean International Statistical Society
Organizer(s): Won Chang, University of Cincinnati
Chair(s): Whitney Huang, Clemson University
8:35 AM	Kernel Flow Emulation for NASA's Surface Biology and Geology Mission Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology; Jouni Susiluoto, Jet Propulsion Laboratory; Houman Owhadi, California Institute of Technology
9:00 AM	Improving Pipelines for Assessing Flood Hazard Under Climate Change Stephan Sain, Jupiter Intelligence
9:25 AM	Hierarchical, Nonstationary, Spatial Modeling to Account for Model Error in Computational Hurricane Models David Higdon, Virginia Tech
9:50 AM	Discussant: Dorit Hammerling, Colorado School of Mines
10:10 AM	Floor Discussion

122 *	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-143C
Analysis of Extreme Events — Invited Papers
Section on Risk Analysis, Section on Statistics and the Environment, IMS
Organizer(s): John P Nolan, American University
Chair(s): Elena Rantou, Food and Drug Administration
10:35 AM	Extreme Value Analysis for Financial Risk Management Natalia Nolde, University of British Columbia
11:00 AM	Dependence Between Extremes of Satellite and Ground Station Precipitation Brook T Russell, Clemson University School of Mathematical and Statistical Sciences; Whitney Huang, Clemson University; Yiren T Ding, Clemson University School of Mathematical and Statistical Sciences; Jamie Dyer, Mississippi State University
11:25 AM	Statistical Frameworks to Study Climate Extremes in a Detection and Attribution Context Brian James Reich, North Carolina State University; Zun Yin, NCSU; Paula Gonzalez, Lab. des Sciences du Climat et de l'Environnement; Philippe Naveau, Laboratoire des Sciences du Climat et de l’Environnement
11:50 AM	Signal Processing in the Presence of Heavy-Tailed Extremes John P Nolan, American University
12:15 PM	Floor Discussion

150 !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-156
Methods and Computing for Spatial and Spatio-Temporal Data — Contributed Papers
Section on Statistics and the Environment
Chair(s): Ali Arab, Georgetown University
10:35 AM	Fitting Matérn Smoothness Parameters Using Automatic Differentiation Christopher Geoga, Rutgers University; Oana Marin, Argonne National Laboratory; Michel Schanen, Argonne National Laboratory; Michael L. Stein, Rutgers University, Department of Statistics
10:50 AM	Correlation-Based Sparse Inverse Cholesky Factorization for Fast Gaussian-Process Inference Myeongjong Kang, Texas A&M University; Matthias Katzfuss, Texas A&M University
11:05 AM	Computationally Efficient Algorithms for Bayesian Nearest Neighbor Co-Kriging Gaussian Processes Bledar Alex Konomi, University of Cincinnati; Si Cheng, BeiGene, Ltd.
11:20 AM	Constructing Large Nonstationary Spatio-Temporal Covariance Models via Compositional Warpings Quan Vu, University of Wollongong; Andrew Zammit Mangion, University of Wollongong; Stephen Chuter, University of Bristol
11:35 AM	Flexible Basis Representations for Modeling High-Dimensional Hierarchical Spatial Data Using Adaptive Resolution Tuning Remy MacDonald, George Mason University; Ben Seiyon Lee, George Mason University
11:50 AM	Flexible Modeling of Nonstationary Extremal Dependence Using Spatially Fused Lasso and Ridge Penalties Xuanjie Shao, King Abdullah University of Science and Technology; Arnab Hazra, Indian Institute of Technology Kanpur; Jordan Richards, King Abdullah University of Science and Technology; Raphael Huser, King Abdullah University of Science and Technology (KAUST)
12:05 PM	Floor Discussion

177 * !	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-102A
Observations Through a Foggy Lens: Modeling Complex Measurement Error and Non-Random Missingness in Ecological and Environmental Health Data — Invited Papers
Section on Statistical Consulting, Section on Statistics and the Environment, The International Environmetrics Society
Organizer(s): Joshua Hewitt, Duke University
Chair(s): Xinyi Lu, Colorado State University
2:05 PM	Reinforcement Learning and Step Selection Analysis for Animal Movement Data Toryn L J Schafer, Cornell University; Christopher K. Wikle, University of Missouri; Mevin B Hooten, University of Texas at Austin
2:25 PM	A Statistical Approach to Account for Missing Data in GPS Trajectories Marcin Jurek, University of Texas at Austin; Kate Calder, University of Texas at Austin; Corwin Zigler, University of Texas at Austin
2:45 PM	To Model or Design Your Way to Defensible Conservation Information on At-Risk Bat Populations? Kathryn Irvine, US Geological Survey; Christian Stratton, Montana State University
3:05 PM	Detecting Changes in Dynamic Social Networks Using Multiply Labeled Movement Data Zaineb L. Boulil, Rady Children's Hostpital; Henry Scharf, San Diego State University; John W. Durban, Southall Environmental Associates, Inc.; Holly Fearnbach, Sr3 SeaLife Response, Rehabilitation and Research; Trevor W. Joyce, Environmental Assessment Services; Samantha G. M. Leander, Southall Environmental Associates, Inc.
3:25 PM	Modeling Measurement and Classification Uncertainty in Drone-Based Images Used to Estimate Physical Characteristics and Shapes of Whales Joshua Hewitt, Duke University; K. C. Bierlich, Oregon State University
3:45 PM	Floor Discussion

185 * !	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-144B
Addressing Important Questions in Climate Science Using Advanced Statistical and Machine-Learning Approaches — Topic Contributed Papers
Section on Statistics and the Environment, ASA Advisory Committee on Climate Change Policy, Section on Physical and Engineering Sciences
Organizer(s): Matthias Katzfuss, Texas A&M University
Chair(s): Bo Li, University of Illinois at Urbana-Champaign
2:05 PM	Prediction of Optimal Compression Settings for Spatiotemporal Climate Data Sets: Benchmarking Statistical and Machine Learning Techniques Dorit Hammerling, Colorado School of Mines; Alexander Pinard, Colorado School of Mines; Allison Baker, National Center for Atmospheric Research
2:25 PM	A Method for Detection and Attribution of Regional Precipitation Change Using Granger Causality Mark Risser, Lawrence Berkeley National Laboratory
2:45 PM	Estimating Changes in Compound Heat-Humidity Extremes: A Conditional Quantile Approach Karen Aline McKinnon, UCLA; Andy Poppick, Carleton College
3:05 PM	Multi-Model Ensemble Analysis with Neural Network Gaussian Processes Trevor Austin Harris, Texas A&M University; Bo Li, University of Illinois at Urbana-Champaign; Ryan Sriver, University of Illinois
3:25 PM	Non-Gaussian Climate Model Analysis via Scalable Bayesian Transport Maps Matthias Katzfuss, Texas A&M University; Florian Schaefer, Georgia Tech
3:45 PM	Floor Discussion

223532	Mon, 8/8/2022, 5:00 PM - 7:00 PM	M-LeDroit Park
Section on Statistics and the Environment Mixer and Business Meeting — Other Cmte/Business
Section on Statistics and the Environment
Chair(s): Elizabeth Mannshardt, US EPA

218 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-151B
Novel Methodology Development in High-Dimensional Longitudinal Data Analysis — Invited Papers
ENAR, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Lance Ford, The University of Oklahoma Health Sciences Center
Chair(s): Chao Xu, University of Oklahoma Health Sciences Center
8:35 AM	Regression Analysis of Correlations for Correlated Data Jie Hu, University of Science and Technology of China; Yu Chen, University of Science and Technology of China; Chenlei Leng, University of Warwick; Cheng Yong Tang, Temple University
8:55 AM	Network Based Analysis of High-Dimensional Longitudinal Data Yuwen Liu, Kansas State University; cen wu, Kansas State University
9:15 AM	Streaming Inference with Intensively Measured Longitudinal Outcomes from Wearable Devices Emily Charlotte Hector, North Carolina State University; Lan Luo, The University of Iowa
9:35 AM	Multi-Source Single-Cell Data Integration by Minimized Aggregated Wasserstein Barycenter Lynn Lin, Duke University; Jianbo Ye , Amazon Lab126; Jia Li, Pennsylvania State University
9:55 AM	Interpretable High-Dimensional Dynamical Models of Organismal Aging Trained with Longitudinal Data Andrew Rutenberg, Dalhousie University
10:15 AM	Floor Discussion

231 *	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-101
Statistical Methods Under Preferential and Informative Sampling — Topic Contributed Papers
Section on Statistics and the Environment, Survey Research Methods Section
Organizer(s): Erin Schliep, University of Missouri
Chair(s): Christopher K. Wikle, University of Missouri
8:35 AM	Spatial Kriging in the Presence of Informative Sampling Designs Erin Schliep, University of Missouri; Christopher K. Wikle, University of Missouri; Ranadeep Daw, University of Missouri
8:55 AM	An Empirical Evaluation of Alternative Approaches to Adjusting for Attrition When Analyzing Longitudinal Survey Data Yajuan Si, University of Michigan
9:15 AM	A Comparison of Design-Based and Model-Based Approaches for Finite Population Spatial Data Michael Dumelle, United States Environmental Protection Agency (USEPA); Matt Higham, St. Lawrence University; Jay Ver Hoef, National Oceanic and Atmospheric Administration (NOAA); Anthony Olsen, United States Environmental Protection Agency (USEPA); Lisa Madsen, Oregon State University
9:35 AM	Preferential Sampling in Opportunistic Citizen Science Data Becky Tang, Duke University; Alan E. Gelfand, Duke University
9:55 AM	Floor Discussion

238 *	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-204B
Advances in Spatial and Temporal Models for Complex Environmental Systems — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics and the Environment, International Society for Bayesian Analysis (ISBA)
Organizer(s): Ephraim M Hanks, The Pennsylvania State University
Chair(s): Veronica J Berrocal, University of California
8:35 AM	Realistic and Fast Modeling of Spatial Extremes Over Large Geographical Domains Arnab Hazra, Indian Institute of Technology Kanpur; Raphael Huser, King Abdullah University of Science and Technology (KAUST); David Bolin, King Abdullah University of Science and Technology (KAUST)
8:55 AM	Modeling First Arrival of Migratory Birds Using a Hierarchical Max-Infinitely Divisible Process Benjamin Shaby, Colorado State University; Dhanushi Wijeyakulasuriya, Microsoft Corp.; Ephraim M Hanks, The Pennsylvania State University
9:15 AM	Joint Modeling of Individual Telemetry and Species Distribution Data to Understand Migratory Behavior of Golden Eagles Ephraim M Hanks, The Pennsylvania State University
9:35 AM	Floor Discussion

247 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-141
Analyses in Climate and Epidemiology — Contributed Papers
Section on Statistics and the Environment
Chair(s): Reetam Majumder, North Carolina State University
8:35 AM	How Large-Scale Climate Patterns Influence Extreme Precipitation Seasonality Over the United States? Bhikhari Tharu, Spelman College; Nirajan Dhakal, Spelman College; Ali Aljoda, Spelman College
8:50 AM	Outlier Detection in Solar Resource Data Using Machine Learning Chantelle May Clohessy, Nelson Mandela University; Warren James Brettenny, Nelson Mandela University; Waldo Abrahams, Nelson Mandela University
9:05 AM	Examining Generalizability of Nutrient Intake Patterns and Its Association to CVD Risk Factors for US Hispanics/Latinos Jeanette Varela, Graduate Student; Daniela Sotres-Alvarez, University of North Carolina; Briana Joy Kennedy Stephenson, Harvard T.H. Chan School of Public Health; Amanda Mcclain, San Diego State University; Yasmin Mossavar-Rahmani, Albert Einstein College of Medicine; Luis Maldonado, University of Southern California; Martha Daviglus, University of Illinois College of Medicine
9:20 AM	Subordinated Processes for Solar Irradiance Simulation Caitlin Berry, University of Colorado Boulder; Will Kleiber, University of Colorado
9:35 AM	Marginal Analysis of Exposure Data with Repeated Measures and Nondetects Presentation I-Chen Chen, National Institute for Occupational Safety and Health, CDC; Stephen J. Bertke, National Institute for Occupational Safety and Health, CDC; Cheryl Fairfield Estill, National Institute for Occupational Safety and Health, CDC
9:50 AM	Floor Discussion

263 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-152A
The Role of Statistics in Science and Policy-Making for the Environmental Protection Agency — Invited Panel
Section on Statistics and the Environment, Government Statistics Section, Scientific and Public Affairs Advisory Committee
Organizer(s): Richard Smith, University of North Carolina Chapel Hill
Chair(s): Richard Smith, University of North Carolina Chapel Hill
10:35 AM	The Role of Statistics in Science and Policy-Making for the Environmental Protection Agency
Panelists:	Lianne Sheppard, University of Washington Francesca Dominici, Harvard Corwin Zigler, University of Texas at Austin Daniel O. Stram, Keck School of Medicine, University of Southern California
12:10 PM	Floor Discussion

277	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-140B
SPEED: Biometrics and Environmental Statistics Part 1 — Contributed Speed
Biometrics Section, Section on Statistics and the Environment
Chair(s): Namhee Kim, Rush University Medical Center
10:35 AM	Sensitivity Analysis for Generalized Causal Mediation: Extending the GMediation R Package Jeffrey Albert, Case Western Reserve University; Jang Ik Cho, Eli Lilly and Company; Carly Rose, Case Western Reserve University
10:40 AM	Implementing Different Imputation Pipelines for High-Frequency Digital Biomarkers with Missing Data and Lower-Frequency Binary Outcomes Nicole Wakim, University of Michigan; Hiroko Dodge, Oregon Health and Science University; Zhenke Wu, University of Michigan, Ann Arbor; Tom Braun, University of Michigan
10:45 AM	Flexible Estimation of the Conditional Survival Function via Observable Regression Models Charles Jacob Wolock, University of Washington; Noah Simon, University of Washington; Marco Carone, University of Washington
10:50 AM	SMILE: Smart Representation of Single Cell RNA-Seq Data via Attention-Based Deep Multiple Instance Learning Jihwan Oh, Merck; John Kang, Merck; Alex Tamburino, Merck; Vladimir Svetnik, Merck Research Labs; Runzhe Li, John's Hopkins University
10:55 AM	Model Selection for Survival Individualized Treatment Rules Using the Jackknife Estimator Gilson D Honvoh, University of North Carolina at Chapel Hill; Hunyong Cho, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
11:00 AM	A Multiple Imputation Approach for Optimal Treatment Decision Rules Jenny Shen, University of Pennsylvania; Kristin Linn, University of Pennsylvania
11:05 AM	Meta-Analysis with Heterogeneity Clusters: An Application to Prevalence Estimation of Postmenopausal Bleeding Among Women with Endometrial Cancer Gregory Haber, National Institute of Standards and Technology; Andrew Leo Rukhin, National Institute of Standards and technology
11:10 AM	R Package AdjKM.CIF and Shiny Application for Creating the Covariate-Adjusted Kaplan-Meier and Cumulative Incidence Functions Biwei Cao, H. Lee Moffitt Cancer Center & Research Institute; Jonphil Kim, H. Lee Moffitt Cancer Center & Research Institute,University of South Florida
11:15 AM	On the Proportional Likelihood Ratio Model for Sparse Correlated Data Jiayi Tong, University of Pennsylvania; Yang Ning, Cornell University; Md Nazmul Islam, UnitedHealth Group; Annie Qu, UC Irvine; Yong Chen, University of Pennsylvania
11:20 AM	Comparison of Test Statistics for Regression Coefficients in the OLS, Ridge, Liu, and Kibria-Lukman Linear Regression Model: A Simulation Study Sergio Perez-Melo, Florida International University; Zoran Bursac, Florida International University; B.M. Golam Kibria, Florida International University
11:30 AM	Kidney Transplantation Outcome Predictions (KTOP): A Risk Prediction Tool for Kidney Transplants from Brain-Dead Deceased Donors Based on a Large European Cohort Gregor Miller, Technical University of Munich; Donna P. Ankerst, Technical University of Munich
11:35 AM	Accommodating Heterogeneous Missing Data Patterns for Prostate Cancer Risk Prediction Matthias Neumair, Technical University of Munich; Donna P. Ankerst, Technical University of Munich
11:40 AM	Spatial Classification in the Presence of Measurement Error Yuhan Ma, Baylor University; Kyuhee Shin, Kyungpook National University; GyuWon Lee, Kyungpook National University; Joon Jin Song, Baylor Univeristy
11:45 AM	The Performance of Boosting Methods on Air Quality Data Betül Kan-K?l?nç, Eski?ehir Technical University
11:50 AM	Bayesian Hierarchical Modeling of Tropical Storms and Their Damage Potential: A Data Driven Study Sakshi Arya, Penn State University
11:55 AM	A Spatio-Temporal Model for Arctic Sea Ice Alison Kleffner, University of Nebraska at Lincoln; Yawen Guan, University of Nebraska - Lincoln; Susan VanderPlas, University of Nebraska - Lincoln
12:00 PM	Improved Estimation of Inorganic Carbon in the North Atlantic Ocean with State Space Models Claire Boteler, Dalhousie University; Michael Dowd, Dalhousie University; Eric C. J. Oliver, Dalhousie University; Elias T. Krainski, King Abdullah University of Science and Technology; Douglas W. R. Wallace, Dalhousie University
12:05 PM	A Spatio-Temporal Dynamic Cellular Automata Model for Fire Spread Nicholas Grieshop, University of Missouri
12:10 PM	Frequency Separated Periodic Block Bootstrapping: Consistency and Robustness for Periodic Characteristics of Time Series Edward Valachovic, University at Albany, State University of New York
12:15 PM	A Deep Gaussian Process Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts Stephen Walsh, Virginia Tech; Marco Ferreira, Virginia Tech; David Higdon, Virginia Tech; Stephanie Zick, Virginia Tech; Annie Sauer, Virginia Tech

326 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-206
Exploring the Impact of Air Pollution on Alzheimer's Disease and Other Indicators of Dementia — Topic Contributed Papers
Section on Statistics in Epidemiology, Section on Statistics and the Environment, Biometrics Section
Organizer(s): Richard Smith, University of North Carolina Chapel Hill
Chair(s): Benjamin Leinwand, UNC
2:05 PM	Epidemiology of Air Pollution, Dementia, and Related Outcomes: What Do We Know? Melinda Power, George Washington University
2:25 PM	Accounting for Bias Due to Attrition in Analyses of Cognitive Aging: Concepts and Application Jennifer Weuve, Boston University School of Public Health; Ryan Andrews, Boston University School of Public Health
2:45 PM	Air Quality Modeling for Exposure Assessment Qi Ying, Texas A&M University; Xiaohui Xu, Texas A&M University; Eun Sug Park, TTI; Richard Smith, University of North Carolina Chapel Hill; Eric Whitsel, University of North Carolina at Chapel Hill; James Stewart, University of North Carolina at Chapel Hill; Melinda Power, George Washington University
3:05 PM	Understanding Critical Windows of Exposure in Longitudinal Analysis of Air Pollution and Cognitive Function Xiaohui Xu, Texas A&M University; Eric Whitsel, University of North Carolina at Chapel Hill; Qi Ying, Texas A&M University; Richard Smith, University of North Carolina Chapel Hill; James Stewart, University of North Carolina at Chapel Hill; Eun Sug Park, TTI; Erin Bennett, George Washington University; Katie Lynch, George Washington University; Melinda Power, George Washington University; Vixey Fang, Texas A&M University; Xiaohui Xu, Texas A&M University
3:25 PM	Accounting for Exposure Measurement Error in Air Pollution and Neuroimaging Analysis Eun Sug Park, TTI; Richard Smith, University of North Carolina Chapel Hill; Xiaohui Xu, Texas A&M University; Eric Whitsel, University of North Carolina at Chapel Hill; James Stewart, University of North Carolina at Chapel Hill; Qi Ying, Texas A&M University; Katie Lynch, George Washington University; Erin Bennett, George Washington University; Melinda Power, George Washington University
3:45 PM	Floor Discussion

335 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-144A
Recent Advances in Spatial and Spatio-Temporal Modeling — Contributed Papers
Section on Statistics and the Environment
Chair(s): Lyndsay Shand, Sandia National Laboratories
2:05 PM	A Bayesian Spatio-Temporal Level Set Dynamic Model and Application to Fire Front Propagation Myungsoo Yoo, University of Missouri; Christopher K. Wikle, University of Missouri
2:20 PM	A Combined Statistical and Machine Learning Approach for Spatial Prediction of Extreme US Wildfire Frequencies and Sizes Daniela Cisneros, KAUST; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Yan Gong, KAUST; Rishikesh Yadav, King Abdullah University of Science and Technology; Arnab Hazra, Indian Institute of Technology Kanpur
2:35 PM	Sliced Elastic Distances for Global Climate Model Validation Robert Charles Garrett, University of Illinois at Urbana Champaign; Trevor Austin Harris, Texas A&M University; Bo Li, University of Illinois at Urbana-Champaign
2:50 PM	Multivariate Spatio-Temporal Models for Landscape Change Using Aerial Imagery Xinyi Lu, Colorado State University
3:05 PM	Extremal Dependence of Type-G Mat\'Ern Stochastic Partial Differential Equation Random Fields Zhongwei Zhang, King Abdullah University of Science and Technology; David Bolin, King Abdullah University of Science and Technology (KAUST); Sebastian Engelke, Université de Genève; Raphael Huser, King Abdullah University of Science and Technology (KAUST)
3:20 PM	Floor Discussion

352	Tue, 8/9/2022, 2:00 PM - 2:45 PM	CC-Hall D
SPEED: Biometrics and Environmental Statistics Part 2 — Contributed Poster Presentations
Biometrics Section, Section on Statistics and the Environment
Chair(s): Namhee Kim, Rush University Medical Center
01:	Sensitivity Analysis for Generalized Causal Mediation: Extending the GMediation R Package Jeffrey Albert, Case Western Reserve University; Jang Ik Cho, Eli Lilly and Company; Carly Rose, Case Western Reserve University
02:	Implementing Different Imputation Pipelines for High-Frequency Digital Biomarkers with Missing Data and Lower-Frequency Binary Outcomes Nicole Wakim, University of Michigan; Hiroko Dodge, Oregon Health and Science University; Zhenke Wu, University of Michigan, Ann Arbor; Tom Braun, University of Michigan
03:	Flexible Estimation of the Conditional Survival Function via Observable Regression Models Charles Jacob Wolock, University of Washington; Noah Simon, University of Washington; Marco Carone, University of Washington
04:	SMILE: Smart Representation of Single Cell RNA-Seq Data via Attention-Based Deep Multiple Instance Learning Jihwan Oh, Merck; John Kang, Merck; Alex Tamburino, Merck; Vladimir Svetnik, Merck Research Labs; Runzhe Li, John's Hopkins University
05:	Model Selection for Survival Individualized Treatment Rules Using the Jackknife Estimator Gilson D Honvoh, University of North Carolina at Chapel Hill; Hunyong Cho, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
06:	A Multiple Imputation Approach for Optimal Treatment Decision Rules Jenny Shen, University of Pennsylvania; Kristin Linn, University of Pennsylvania
07:	Meta-Analysis with Heterogeneity Clusters: An Application to Prevalence Estimation of Postmenopausal Bleeding Among Women with Endometrial Cancer Gregory Haber, National Institute of Standards and Technology; Andrew Leo Rukhin, National Institute of Standards and technology
08:	R Package AdjKM.CIF and Shiny Application for Creating the Covariate-Adjusted Kaplan-Meier and Cumulative Incidence Functions Biwei Cao, H. Lee Moffitt Cancer Center & Research Institute; Jonphil Kim, H. Lee Moffitt Cancer Center & Research Institute,University of South Florida
09:	On the Proportional Likelihood Ratio Model for Sparse Correlated Data Jiayi Tong, University of Pennsylvania; Yang Ning, Cornell University; Md Nazmul Islam, UnitedHealth Group; Annie Qu, UC Irvine; Yong Chen, University of Pennsylvania
10:	Comparison of Test Statistics for Regression Coefficients in the OLS, Ridge, Liu, and Kibria-Lukman Linear Regression Model: A Simulation Study Sergio Perez-Melo, Florida International University; Zoran Bursac, Florida International University; B.M. Golam Kibria, Florida International University
11:	Kidney Transplantation Outcome Predictions (KTOP): A Risk Prediction Tool for Kidney Transplants from Brain-Dead Deceased Donors Based on a Large European Cohort Gregor Miller, Technical University of Munich; Donna P. Ankerst, Technical University of Munich
12:	Accommodating Heterogeneous Missing Data Patterns for Prostate Cancer Risk Prediction Matthias Neumair, Technical University of Munich; Donna P. Ankerst, Technical University of Munich
13:	Spatial Classification in the Presence of Measurement Error Yuhan Ma, Baylor University; Kyuhee Shin, Kyungpook National University; GyuWon Lee, Kyungpook National University; Joon Jin Song, Baylor Univeristy
14:	The Performance of Boosting Methods on Air Quality Data Betül Kan-K?l?nç, Eski?ehir Technical University
15:	Bayesian Hierarchical Modeling of Tropical Storms and Their Damage Potential: A Data Driven Study Sakshi Arya, Penn State University
16:	A Spatio-Temporal Model for Arctic Sea Ice Alison Kleffner, University of Nebraska at Lincoln; Yawen Guan, University of Nebraska - Lincoln; Susan VanderPlas, University of Nebraska - Lincoln
17:	Improved Estimation of Inorganic Carbon in the North Atlantic Ocean with State Space Models Claire Boteler, Dalhousie University; Michael Dowd, Dalhousie University; Eric C. J. Oliver, Dalhousie University; Elias T. Krainski, King Abdullah University of Science and Technology; Douglas W. R. Wallace, Dalhousie University
18:	A Spatio-Temporal Dynamic Cellular Automata Model for Fire Spread Nicholas Grieshop, University of Missouri
19:	Frequency Separated Periodic Block Bootstrapping: Consistency and Robustness for Periodic Characteristics of Time Series Edward Valachovic, University at Albany, State University of New York
20:	A Deep Gaussian Process Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts Stephen Walsh, Virginia Tech; Marco Ferreira, Virginia Tech; David Higdon, Virginia Tech; Stephanie Zick, Virginia Tech; Annie Sauer, Virginia Tech

380	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-158AB
Advances in Bayesian Extreme Value Analysis — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics and the Environment, Section on Risk Analysis
Organizer(s): Benjamin Shaby, Colorado State University
Chair(s): Benjamin Shaby, Colorado State University
8:35 AM	Approximating Likelihoods for Extreme Value Analysis with Deep Learning Reetam Majumder, North Carolina State University; Brian James Reich, North Carolina State University; Benjamin Shaby, Colorado State University
8:55 AM	Spatial Scale-Aware Tail Dependence Modeling for High-Dimensional Spatial Extremes Likun Zhang, Lawrence Berkeley National Laboratory; Mark Risser, Lawrence Berkeley National Laboratory; Benjamin Shaby, Colorado State University
9:15 AM	Spatiotemporal Wildfire Modeling Through Point Processes with Moderate and Extreme Marks Jonathan Koh, University of Bern; François Pimont, INRAe; Jean-Luc Dupuy, INRAe; Thomas Opitz, INRAe
9:35 AM	A Flexible Bayesian Hierarchical Modeling Framework for Spatially Dependent Peaks-Over-Threshold Data Presentation Rishikesh Yadav, King Abdullah University of Science and Technology; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Thomas Opitz, INRAe
9:55 AM	Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations Jonathan Jalbert, Polytechnique Montréal; Christian Genest, McGill University; Luc Perreault, Hydro-Québec; Paul Mathivon, Polytechnique Montréal
10:15 AM	Floor Discussion

394 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-153
Spatial and Spatio-Temporal Modeling in Climate and Meteorology — Contributed Papers
Section on Statistics and the Environment
Chair(s): Trevor Austin Harris, Texas A&M University
8:35 AM	Estimating the Trend, Seasonality, and Variability of Global CO2 Fluxes with a Bayesian Flux-Inversion Framework Michael Bertolacci, University of Wollongong; Andrew Zammit Mangion, University of Wollongong; Noel Cressie, University of Wollongong; Andrew Schuh, Colorado State University; Beata Bukosa, NIWA; Jenny Fisher, University of Wollongong; Yi Cao, University of Wollongong
8:50 AM	Model Discrepancy in CO2 Retrievals from the OCO-2 Satellite Jenny Brynjarsdottir, Case Western Reserve University
9:05 AM	Deep Lagged-Wavelet for Monthly Rainfall Forecasting in a Tropical Region Eliana Jackeline Vivas Rafael, Pontificia Universidad Católica de Valparaíso; Lelys I Bravo de Guenni, University of Illinois at Urbana-Champaign; Hector Allende-Cid, Pontificia Universidad Católica de Valparaíso; Rodrigo Salas, Universidad de Valparaíso
9:20 AM	Adaptive Bias Correction for Improved Subseasonal Forecasting Presentation Soukayna Mouatadid, University of Toronto; Paulo Orenstein, Instituto de Matemática Pura e Aplicada; Genevieve Flaspohler, Massachusetts Institute of Technology; Miruna Oprescu, Microsoft Research New England; Judah Cohen, Atmospheric and Environmental Research; Franklyn Wang, Harvard University; Sean Knight, Massachusetts Institute of Technology; Maria Geogdzhayeva, Massachusetts Institute of Technology; Sam Levang, Salient Predictions Inc.; Ernest Fraenkel, Massachusetts Institute of Technology; Lester Mackey, Microsoft Research New England
9:35 AM	Representing Covariance Matrix Estimation Uncertainty in Climate Change Detection and Attribution Samuel J Baugh, UCLA; Karen Aline McKinnon, UCLA
9:50 AM	Estimation of Solar-Induced Chlorophyll Fluorescence Yield of Various Vegetation Land Types Using a Spatially Varying Coefficient Model. Mauricio Campos, University of Illinois at Urbana-Champaign; Bo Li, University of Illinois at Urbana-Champaign
10:05 AM	Modeling of Wind Speed and Wind Direction Through a Conditional Approach Eva Murphy, Clemson University; Whitney Huang, Clemson University

414 !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-150A
ENVR Student Paper Award Winners — Topic Contributed Papers
Section on Statistics and the Environment
Organizer(s): Emily L Kang, University of Cincinnati; Alexandra M Schmidt, McGill University
Chair(s): Candace Berrett, Brigham Young University
10:35 AM	Asynchronous Changepoint Estimation for Spatially Correlated Functional Time Series Mengchen Wang, University of Illinois at Urbana-Champaign; Trevor Austin Harris, Texas A&M University; Bo Li, University of Illinois at Urbana-Champaign
10:55 AM	Species Interactions and Movement: Modeling Environmental Effects on Community Dynamics Becky Tang, Duke University; Alan E. Gelfand, Duke University
11:15 AM	Distributional Validation of Precipitation Data Products with Spatially Varying Mixture Models Lynsie R Warr, Brigham Young University; Matthew Heaton, BYU; William F Christensen, Brigham Young University; Philip White, BYU; Summer B Rupper, University of Utah
11:35 AM	A Bayesian Approach for Data-Driven Dynamic Equation Discovery Joshua North, University of Missouri Columbia; Christopher K. Wikle, University of Missouri; Erin Schliep, University of Missouri
11:55 AM	Bag of DAGs: Flexible Nonstationary Modeling of Spatiotemporal Dependence Bora Jin, Duke university; Michele Peruzzi, Duke University; David Dunson, Duke University
12:15 PM	Floor Discussion

431	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-Hall D
Contributed Poster Presentations: Section on Statistics and the Environment — Contributed Poster Presentations
Section on Statistics and the Environment
Chair(s): Gyuhyeong Goh, Kansas State University
01:	Assessing the Implementation of a Geographically Stratified Random Sample in the Random Forest Setting Melissa A Meeker, Drexel University; Leslie McClure, Drexel University
02:	Cross Validated Decision Trees with Targeted Minimum Loss-Based Estimation for Analysis of Mixed Exposures David Brenton McCoy, University of California Berkeley; Alan Hubbard, University of California Berkeley; Mark Van Der Laan, UC Berkeley
03:	A Bayesian Record Linkage Approach to Tree Demography Using Overlapping Lidar Scans Lane Drew, Colorado State University
04:	Statistical Modeling for Estimating Mountain Glacier Variations Through Landsat Satellite Imagery Jonathan Webb, University of Idaho; Thu Thu Hlaing, Ithaca College; Nezamoddin N. Kachouie, Florida Institute of Technology
05:	Modeling Ciguatera Fish Poisoning Cases Using Climate and Environmental Factors in Florida Christopher Ryzowicz, New College of Florida; Motti Goldberger, University of Maryland, College Park; Michael Splitt, Florida Institute of Technology; Robert van Woesik, Florida Institute of Technology; Nezamoddin N. Kachouie, Florida Institute of Technology
06:	Statistical Learning Approaches for Environmental Mixtures Studies with Survival Outcomes and Their Application to the Strong Heart Study Melanie Nicole Mayer, Columbia University; Arce Domingo Relloso, Columbia University; Ana Navas-Acien, Columbia University; Brent Coull, Harvard University; Marianthi-Anna Kioumourtzoglou, Columbia University; Linda Valeri, Columbia University
07:	Modeling Sea Level Rise in Florida Hanna Vaidya, Wake Forest University; Marisela Madrid, Turtle Mountain Community Tribal College; Steven Lazarus, Florida Institute of Technology; Nezamoddin N. Kachouie, Florida Institute of Technology
08:	Spatiotemporal Boundary Detection in the Sahara Desert Using Machine Learning Algorithms Stephen Matthew Tivenan, VCU; Indranil Sahoo, Virginia Commonwealth University
09:	Impact of Benthic Organisms to Mitigate Water Pollution in the Indian River Lagoon Rebecca Beltran, Aquinas College; Alyssa Sharma, Appalachian State University; Kelli Hunsucker, Florida Institute of Technology; Ryan White, Florida Institute of Technology; Nezamoddin N. Kachouie, Florida Institute of Technology
10:	Forward Model Emulation and Computationally Efficient Atmospheric Retrievals for NASA’s Microwave Limb Sounder Maggie Johnson, Jet Propulsion Laboratory, California Institute of Technology; Joaquim Teixeira, Jet Propulsion Laboratory, California Institute of Technology; Nathaniel Livesey, Jet Propulsion Laboratory, California Institute of Technology; William Read, Jet Propulsion Laboratory, California Institute of Technology; Michael Schwartz, Jet Propulsion Laboratory, California Institute of Technology; Paul Wagner, Jet Propulsion Laboratory, California Institute of Technology; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology

454 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-150B
Statistical Innovations to Facilitate Understanding and Prediction of Wildland Fires — Invited Papers
Section on Statistics and the Environment
Organizer(s): Christopher K. Wikle, University of Missouri
Chair(s): Erin Schliep, University of Missouri
2:05 PM	Deep Hierarchical Generalized Transformation Models with Application to Wildfires Jonathan R Bradley, Florida State University
2:30 PM	Attribution of Seasonal Fire Risk to Climate Change Daniel Cooley, Colorado State University; Nehali Mhatre, Colorado State University; Troy Wixson, Colorado State University
2:55 PM	Hierarchical Level Set Dynamics for Nowcasting Wildland Fire Fronts Christopher K. Wikle, University of Missouri; Myungsoo Yoo, University of Missouri
3:20 PM	The Impact of Forestry Regulations on the Growth of Industrial Forestry-Caused Wildland Fires in Ontario, Canada Kevin Granville, University of Windsor; Doug Woolford, Western University; Charmaine Dean, University of Waterloo; Colin B. McFayden, Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry, AFFES; Shi Yu Cao, Western University
3:45 PM	Floor Discussion

462 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-144C
Spatio-Temporal Methods for Complex Data — Invited Papers
Royal Statistical Society, International Indian Statistical Association, Section on Statistics and the Environment
Organizer(s): Karthik Bharath, University of Nottingham
Chair(s): Shariq Mohammed, Boston University
2:05 PM	Variograms for Kriging and Clustering of Spatial Functional Data with Phase Variation Sebastian Kurtek, The Ohio State University; Xiaohan Guo, The Ohio State University; Karthik Bharath, University of Nottingham
2:30 PM	Principled Spatial Machine Learning with Random Forests and Gaussian Processes Abhi Datta, Johns Hopkins University; Arkajyoti Saha, University of Washington; Sumanta Basu, Cornell University
2:55 PM	A Bayesian Change Point Model to Identify Local Temperature Changes Related to Urbanization Candace Berrett, Brigham Young University; Brianne Gurney, Instat Clinical Research; David Arthur, Purdue University; Gustavious P Williams, Brigham Young University
3:20 PM	Discussant: Karthik Bharath, University of Nottingham
3:40 PM	Floor Discussion

486 !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-144A
Advances in Spatial and Spatio-Temporal Statistics — Contributed Papers
Section on Statistics and the Environment
Chair(s): Henry Scharf, San Diego State University
2:05 PM	On Information About Covariance Parameters in Gaussian Matern Random Fields Victor De Oliveira, The University of Texas at San Antonio; Zifei Han, University of International Business and Economics
2:20 PM	A Spectral Adjustment for Spatial Confounding Yawen Guan, University of Nebraska - Lincoln; Garritt Page, Brigham Young University; Brian James Reich, North Carolina State University; MASSIMO VENTRUCCI, University of Bologna; Shu Yang, North Carolina State University
2:35 PM	A Multivariate Criterion for Spatial Aggregation Ranadeep Daw, University of Missouri; Christopher K. Wikle, University of Missouri; Jonathan R Bradley, Florida State University; Scott H. Holan, University of Missouri/U.S. Census Bureau; Matthew Simpson, SAS Institute
2:50 PM	Absolute Student-T Copula and Modeling Four-Corner Tail Dependence Mitchell Krock, Rutgers University, Department of Statistics; Michael L. Stein, Rutgers University, Department of Statistics
3:05 PM	Clustering Spatial Data via a Mixture of Regression Models with Skewed Distributions Junho Lee, Baylor University; Michael Gallaugher, Baylor University; Amanda S. Hering, Baylor University
3:20 PM	Multivariate Modeling and Simulation of Some Data Sets in Continuous Space and Discrete Time Rigele Te, Kansas State University; Juan Du, Kansas State University
3:35 PM	Interval-Valued Kriging for Geostatistical Mapping with Imprecise Inputs Brennan Bean, Utah State University; Yan Sun, Utah State University; Marc Maguire, University of Nebraska -Lincoln

503 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-154B
Causal Inference for Spatiotemporal Data — Invited Papers
Section on Statistics and the Environment, Section on Statistics in Epidemiology, National Research Center for Statistics for the Environment
Organizer(s): Yawen Guan, University of Nebraska - Lincoln
Chair(s): Yawen Guan, University of Nebraska - Lincoln
8:35 AM	Spatio-Temporal Bayesian Nowcasting for Detecting the Effects of Nonpharmaceutical Interventions Andrew Booth Lawson, Medical University of South Carolina
9:00 AM	Estimation of Causal Effects Under Interference and a Probabilistic Exposure Model Nathan Wikle, University of Texas at Austin; Corwin Zigler, University of Texas at Austin
9:25 AM	Estimating Spatially Varying Health Effects in App-Based Citizen Science Research Lili James Wu, North Carolina State University; Brian James Reich, North Carolina State University; Shu Yang, North Carolina State University; Ana Rappold, US Environmental Protection Agency
9:50 AM	Heterogeneous Causal Effects of Neighborhood Policing in New York City with Staggered Adoption of the Policy Joseph Antonelli, University of Florida
10:15 AM	Floor Discussion

553 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-152A
Future Directions of Climate Statistics — Topic Contributed Panel
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
Chair(s): Whitney Huang, Clemson University
10:35 AM	Future Directions of Climate Statistics
Panelists:	Julie Bessac, Argonne National Laboratory Andy Poppick, Carleton College Robert B Lund, University of California - Santa Cruz Ryan Sriver, University of Illinois Alex Cannon, Environment and Climate Change Canada Claudia Tebaldi, Lawrence Berkeley National Laboratory
12:10 PM	Floor Discussion

561 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-140A
Statistical Analyses for Environmental Monitoring — Contributed Papers
Section on Statistics and the Environment
Chair(s): Eva Murphy, Clemson University
10:35 AM	Gaussian Process Filtering for Calibration of Low-Cost Air-Pollution Sensor Network Data Claire Monique Heffernan, Johns Hopkins University; Abhi Datta, Johns Hopkins University; Roger Peng, Johns Hopkins Bloomberg School of Public Health; Kirsten Koehler, Johns Hopkins University; Drew R. Gentner, Yale University
10:50 AM	Mechanistic Spatial Models for Heavy Metal Pollution Wilson Wright, Colorado State University; Peter Neitlich, National Park Service; Alyssa Shiel, Oregon State University; Mevin Hooten, University of Texas at Austin
11:05 AM	Robust Machine Learning Pipeline for Water Usage Prediction and Systematic Water Management Jimmy Yu, PepsiCo Inc; Jeffrey Blake Bullwinkel, Harvard University; Jason Parcon, PepsiCo Inc; Lochana Kanishka Palayangoda, PepsiCo Inc; Anthony Weishampel, PepsiCo Inc
11:20 AM	Flood Hazard Model Calibration Using Multi-Resolution Model Output Samantha Marie Roth, Pennsylvania State University; Ben Seiyon Lee, George Mason University; Sanjib Sharma, Pennsylvania State University Earth and Environmental Systems Institute; Iman Shakib, Pennsylvania State University Earth and Environmental Systems Institute; Klaus Keller, Dartmouth College Thayer School of Engineering; Murali Haran, Pennsylvania State University
11:35 AM	Bayesian Spatially Adapted Multi Change Point Method Young Ho Yun, Virginia Tech; Inyoung Kim, Virginia Tech
11:50 AM	Detecting Deforestation Using Robust Online Bayesian Monitoring Laura J Wendelberger, North Carolina State University; Brian James Reich, North Carolina State University; Alyson G Wilson, North Carolina State University; Josh M Gray, North Carolina State University
12:05 PM	Additive Partially Linear Models for Pooled Biomonitoring Data Xichen Mou, University of Memphis; Dewei Wang, University of South Carolina

JSM 2022 Conference Program

Activity Details

American Statistical Association