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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
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