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

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* = applied session ! = JSM meeting theme

Activity Details

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

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

84	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Advances in Spatio-Temporal Statistics with Applications to Environmental Data — Topic-Contributed Papers
Section on Statistics and the Environment, Section on Statistical Computing
Organizer(s): Marcin Jurek, University of Texas
Chair(s): Mitchell Krock, Rutgers University
10:05 AM	A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Data Sets Jaewoo Park, Yonsei University; Ben Seiyon Lee, George Mason University
10:25 AM	A Negative Binomial Process Model of the 2020–2021 COVID-19 Epidemic in Rhode Island Nathan Wikle, Pennsylvania State University; Ephraim Hanks, Penn State University; Maciej Boni, Penn State University
10:45 AM	Deep Neural Network Estimation for Complex Spatial Processes Amanda Lenzi, Argonne National Laboratory
11:05 AM	Scalable Forward Sampler Backward Smoother Based on the Vecchia Approximation Marcin Jurek, University of Texas; Matthias Katzfuss, Texas A&M University; Pulong Ma, Duke University / SAMSI
11:25 AM	Statistical Issues in Uncertainty Quantification for Satellite-Based Carbon Flux Inversion Michael Stanley, Carnegie Mellon University; Mikael Kuusela, Carnegie Mellon University
11:45 AM	Floor Discussion

220752	Mon, 8/9/2021, 12:00 PM - 1:20 PM
Section on Statistics and the Environment Executive Committee Meeting — Other Cmte/Business
Section on Statistics and the Environment
Chair(s): Mevin Hooten, Colorado State University

125 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
A New Era of Mark-Recapture: Advances in Bayesian Methods for Modeling and Inference — Topic-Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics and the Environment, Biometrics Section
Organizer(s): James R Faulkner, National Oceanic and Atmospheric Administration
Chair(s): Russell W. Perry, U.S. Geological Survey
1:35 PM	Bayesian State-Space Models for Acoustic Telemetry Data Saman Muthukumarana, University of Manitoba; Inesh Munaweera, University of Manitoba; Darren Gillis, University of Manitoba
1:55 PM	Incorporating Dead Recoveries into a Temporally-Stratified Mark-Recapture Model for Migratory Animals James R Faulkner, National Oceanic and Atmospheric Administration
2:15 PM	Temporally-Stratified Capture-Recapture Models for Migratory Animals Dalton Hance, United States Geological Survey; Russell W. Perry, U.S. Geological Survey; Adam Pope, United States Geological Survey
2:35 PM	Integrating Time-Varying Individual Covariates into Space-for-Time CJS Models Using Hazard Functions Adam Pope, United States Geological Survey; Russell W. Perry, U.S. Geological Survey
2:55 PM	Measuring the Additive Effects of Predation Across Spatial Scales Using Capture-Recapture-Recovery Data Quinn Payton, Real Time Research
3:15 PM	Floor Discussion

131	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Methods for Spatial, Temporal, and Spatio-Temporal Data — Contributed Speed
Section on Statistics and the Environment
Chair(s): Brooke Alhanti, Duke University
1:35 PM	Nonstationary Nearest Neighbor Gaussian Process: Hierarchical Model Architecture and MCMC Sampling Sébastien Coube-Sisqueille, Université de Pau et des Pays de l'Adour; Sudipto Banerjee, University of California Los Angeles ; Benoît Liquet, Université de Pau et des Pays de l'Adour
1:40 PM	Computational Developments and Applications of the Multi-Resolution Approximation for Massive Spatial Data Lewis Blake, Colorado School of Mines; Huang Huang, King Abdullah University of Science and Technology; Matthias Katzfuss, Texas A&M University; Dorit Hammerling, Colorado School of Mines
1:45 PM	Fast Correlation-Based Sparse Inverse Cholesky Factorization for Gaussian Processes Myeongjong Kang, Texas A&M University; Matthias Katzfuss, Texas A&M University
1:50 PM	Bag of DAGs: Flexible and Scalable Modeling of Spatiotemporal Dependence Presentation Bora Jin, Duke University; Michele Peruzzi, Duke University; James Johndrow, University of Pennsylvania; David Dunson, Duke University
1:55 PM	A Semiparametric Approach for Prediction with Large Geostatistical Data Sets Joshua French, University of Colorado Denver; Mohammad Meysami, University of Colorado Denver
2:00 PM	Regionalized Models with Spatially Continuous Predictions at the Borders Jadon Wagstaff, Utah State University; Brennan Bean, Utah State University
2:05 PM	Ordered Conditional Approximation of Potts Models Anirban Chakraborty, Texas A&M University; Matthias Katzfuss, Texas A&M University
2:10 PM	Response Envelopes for Multivariate Spatial Data Hossein Moradi Rekabdarkolaee, South Dakota State University
2:15 PM	Continuous-Time Discrete-Space Movement Models Over Two- and Three-Dimensional Space Joshua Hewitt, Duke University; Robert S Schick, Duke University; Alan E Gelfand, Duke University
2:20 PM	Extensions of Dynamic Factor Analysis for Better Modeling of Noisy Ecological Time Series Eric Ward, NOAA; Sean Anderson, Fisheries and Oceans Canada; Mary Hunsicker, NOAA; Mike Litzow, NOAA
2:30 PM	Transformed-Linear Prediction for Extremes Jeongjin Lee, Colorado State University; Daniel Cooley, Colorado State University
2:35 PM	Modeling Short-Ranged Dependence in Block Extrema with Application to Polar Temperature Data Brook Russell, Clemson University School of Mathematical and Statistical Sciences; Whitney Huang, Clemson University School of Mathematical and Statistical Sciences
2:40 PM	Spatio-Temporal Analysis Frequency Separation and Block Bootstraps of Periodically Correlated Time Series Edward L Valachovic, University at Albany, State University of New York
2:45 PM	Spatial Analysis of Nonstationary Spatial Interval-Valued Data Austin Workman, Baylor University; Joon Jin Song, Baylor University
2:50 PM	Data-Driven Approach to Nonlinear Dynamic Equation Discovery Joshua S North, University of Missouri; Erin M Schliep, University of Missouri; Christopher Wikle, University of Missouri
2:55 PM	Modeling Spatial Dependence with Cauchy Convolution Processes Pavel Krupskii, University of Melbourne; Raphaël Huser, KAUST
3:00 PM	Nonlinear Spatial Prediction with Predictor Subject to Limit of Detection Minho Kim, Baylor University; Kyuhee Shin, Kyungpook National University; Gyuwon Lee , Kyungpook National University; Joon Jin Song, Baylor University
3:05 PM	A General Ensemble Filtering Framework Using Quantiles Jeffrey Anderson, National Center for Atmospheric Research

3:10 PM	Floor Discussion

220753	Mon, 8/9/2021, 5:00 PM - 6:30 PM
Section on Statistics and the Environment Business Meeting and Mixer — Other Cmte/Business
Section on Statistics and the Environment
Chair(s): Mevin Hooten, Colorado State University

159 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Teaching Undergraduates and High-School Students to Analyze Time Series Data — Topic-Contributed Papers
Section on Statistics and Data Science Education, Section on Statistics and the Environment, Section on Medical Devices and Diagnostics, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Juana Sanchez, UCLA
Chair(s): Jeff Witmer, Oberlin College and Conservatory
10:05 AM	Time Series: Its Place in the Secondary School Curriculum Rachel Passmore, University of Auckland
10:25 AM	Long-Term and Seasonal Trends of Wastewater Chemicals in Lake Mead: An Introduction to Time Series Decomposition Rich Wildman, Geosyntec Consultants
10:45 AM	CGM and Insulin Pump Data to Introduce Classical and Machine Learning Time Series Analysis Concepts to Students. Juana Sanchez, UCLA
11:05 AM	Discussant: Vera Ioudina, Texas State University
11:25 AM	Floor Discussion

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

240 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Making the Case for Professional Climate Statisticians — Topic-Contributed Papers
Section on Statistics and the Environment, Section on Statistics and the Environment, Section on Statistics and the Environment
Organizer(s): Mark Risser, Lawrence Berkeley National Laboratory
Chair(s): Matthew Heiner, Brigham Young University
10:05 AM	Hierarchical Spatial Modeling of Monotone West Antarctic Snow Density Curves Presentation Philip White, Brigham Young University; Durban G Keeler, University of Utah Department of Geography; Summer Rupper, University of Utah Department of Geography
10:25 AM	Detecting Changes in Spatial Extremes with Attribution to Both Anthropogenic Influences and Natural Modes of Climate Variability Mark Risser, Lawrence Berkeley National Laboratory; Likun Zhang, Lawrence Berkeley National Laboratory; Chris Paciorek, University of California, Berkeley
10:45 AM	Observation-Based Simulations of Humidity and Temperature Using Quantile Regression Andrew Poppick, Carleton College; Karen Aline McKinnon, University of California - Los Angeles
11:05 AM	Looking Under the Hood of Remote Sensing Measurements of CO2 Jenny Brynjarsdottir, Case Western Reserve University
11:25 AM	Discussant: Michael Wehner, Lawrence Berkeley National Laboratory
11:45 AM	Floor Discussion

261 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Learning for Environmental Data Science — Invited Papers
Section on Statistics and the Environment, ASA Advisory Committee on Climate Change Policy, The International Environmetrics Society
Organizer(s): Bo Li, University of Illinois at Urbana Champaign
Chair(s): Bo Li, University of Illinois at Urbana Champaign
1:35 PM	Data-Driven Discovery of Dynamics in Environmental Systems Christopher Wikle, University of Missouri; Joshua S North, University of Missouri; Erin M Schliep, University of Missouri
2:00 PM	Data and Systems and Clouds - Oh My! The Science of the Data: Architectures for Environmental Learning Elizabeth Mannshardt, US Environmental Protection Agency; David G Smith, US Environmental Protection Agency
2:25 PM	Climate Models: A Spatial Data Story Where Deep Learning Appears Presentation Douglas Nychka, Colorado School of Mines
2:50 PM	Variational Target Encoding for Climate Model Integration Trevor Harris, University of Illinois at Urbana-Champaign
3:15 PM	Floor Discussion

267 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Methods for Large Spatial Data — Invited Papers
Section on Statistical Computing, International Indian Statistical Association, Section on Statistics and the Environment
Organizer(s): Shariq Mohammed, University of Michigan; Arvind Rao, University of Michigan
Chair(s): Shariq Mohammed, University of Michigan
1:35 PM	Spatial Calibration of a Computer Model with Application to Wind Energy Veronica J Berrocal, University of California, Irvine
2:00 PM	Graphical Gaussian Processes for Highly Multivariate Spatial Data Abhirup Datta, Johns Hopkins University
2:25 PM	Valid Model-Free Spatial Prediction Brian Reich, North Carolina State University; Ryan James Martin, North Carolina State University; Huiying James Mao, North Carolina State University
2:50 PM	Discussant: Ansu Chatterjee, University of Minnesota
3:15 PM	Floor Discussion

309 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Advances in Source Apportionment of Air Pollutants and Source-Specific Health Effects Evaluation — Topic-Contributed Papers
Korean International Statistical Society, Section on Statistics and the Environment, Section on Statistics in Epidemiology
Organizer(s): Eun Sug Park, Texas A&M Transportation Institute
Chair(s): Byron Gajewski, University of Kansas Medical Center
3:35 PM	Estimating Source Contributions to Particulate Matter Air Pollution Amber Hackstadt, Vanderbilt University Medical Center
3:55 PM	Bayesian Quantile Multivariate Receptor Modeling Man-Suk Oh, Ewha Womans University; Eun Sug Park, Texas A&M Transportation Institute
4:15 PM	Bayesian Source Apportionment Models for Multi-Scale Studies of Air Pollution Jenna R Krall, George Mason University
4:35 PM	Assessing Multi-Pollutant, Source-Specific Exposures and Differential Health Effects Eun Sug Park, Texas A&M Transportation Institute; Elaine Symanski, Baylor College of Medicine
4:55 PM	Discussant: William F. Christensen, Brigham Young University
5:15 PM	Floor Discussion

322	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Analyses in Ecology, Epidemiology, and Environmental Policy — Contributed Speed
Section on Statistics and the Environment
Chair(s): Joshua French, University of Colorado Denver
3:35 PM	Modeling Prescribed Fire Behavior Following Various Disturbance Regimes in a Mixed Hardwood-Pine Forest John A Craycroft, None currently; Callie Jo Schweitzer, United States Forest Service
3:40 PM	Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations Avishek Chakraborty, University of Arkansas; Giovanni Petris, University of Arkansas; Md Kamrul Hasan Khan, University of Arkansas; Barry T Wilson, Northern Research Station, USDA Forest Service
3:45 PM	Hierarchical Dirichlet Regression Model to Benthic Cover Abrolhos Bank Pamela M. Massiel Chiroque-Solano, Federal University of Rio de Janeiro
3:50 PM	Simulated Stromatolites: Are Martian Fossils Likely to Be Found? Harlan McCaffery, University of Michigan; Chi Chang, Michigan State University
3:55 PM	Zero-Inflated Beta Distribution Regression Modeling Becky Tang, Duke University; Alan E Gelfand, Duke University; Henry Frye, University of Connecticut; John Silander, University of Connecticut
4:00 PM	Time Series Analysis of Continuous GPS Measurements Prior to a Volcanic Eruption: An Example of the Whakaari Volcano in New Zealand KATERINA TSAKIRI, Rider University; ANTONIOS MARSELLOS, Hofstra University
4:05 PM	Modeling Complex Dependence Structures at Multiple Scales Using Hierarchical Hidden Markov Models Evan Sidrow, The University of British Columbia; Nancy Heckman, The University of British Columbia; Sarah ME Fortune, University of British Columbia; Andrew W Trites, University of British Columbia; Ian Murphy, University of British Columbia; Marie Auger-Methe, The University of British Columbia
4:10 PM	Autocart: Spatially Aware Regression Trees for Ecological and Spatial Modeling Ethan Ancell, Utah State University; Brennan Bean, Utah State University
4:15 PM	Extracting Environmental and Climate Signals in Coastal Ecosystem Data with Two-Stage Multivariate Dynamic Linear Models Jacob Peter Strock, University of Rhode Island; Gavino Puggioni, University of Rhode Island; Susanne Peter Menden-Deuer, University of Rhode Island
4:20 PM	Using Public Environmental Data to Inspire Alabama Citizens to Consumer Climate Action Robert L Norton, gaspgroup.org
4:30 PM	Urban Natural Gas Leaks: An Environmental Justice Concern? Seongwon Im, Colorado State University; Joseph von Fischer, Colorado State University; Zachary Weller, Colorado State University
4:40 PM	Comparing the Use and Implications of Stationary Confidence Limits to Weighted Bootstrap and Bayesian Credible Intervals in Environmental Monitoring Applications Marie-Agnes S. Tellier, Trihydro Corporation; Timothy J. Robinson, University of Wyoming
4:45 PM	Incorporating Mixed Spatio-Temporal Data into EHR Analyses: Studying Environmental Impacts on Asthma Exacerbation in Children Brooke Alhanti, Duke University; Benjamin A Goldstein, Duke University ; Congwen Zhao, Duke University; Jillian Hurst, Duke University; Jason Lang, Duke University
4:50 PM	Predicting the Risk of Pathogen Introductions from Disease Surveillance Data Nelson Walker, Kansas State University, Department of Statistics; Trevor Hefley, Kansas State University, Department of Statistics; Daniel Walsh, U.S. Geological Survey - National Wildlife Health Center; Ian McGahan, University of Wisconsin, Department of Statistics; Daniel Storm, Wisconsin Department of Natural Resources; Daniel Skinner, Illinois Department of Natural Resources
4:55 PM	Assessing the Potential of Camera Traps in Monitoring Wild Boar Occupancy Trends in Infected and Noninfected Zones, Using Spatio-temporal Statistical Models Martijn Bollen, UHasselt - Research Institute for Nature and Forest; Natalie Beenaerts, UHasselt; Thomas Neyens, UHasselt - KU Leuven; Jim Casaer, Research Institute for Nature and Forest (INBO); Maxime Fajgenblat, KU Leuven; Valérie De Waele, Service public de Wallonie; Alain Licoppe, Service public de Wallonie; Benoît Manet, Public Service of Wallonia
5:00 PM	The Effects of COVID-19 on Air Quality in Boston, MA Alicia T. Lamere, Bryant University; Dan McNally, Bryant University
5:05 PM	Predicting a Spatiotemporal Exposure Surface with Penalized Regression Nathan Ryder, Colorado State University; Joshua Keller, Colorado State University

5:10 PM	Floor Discussion

348	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
ENVR Student Paper Award Winners — Topic-Contributed Papers
Section on Statistics and the Environment
Organizer(s): Erin M Schliep, University of Missouri
Chair(s): Erin M Schliep, University of Missouri
10:05 AM	Computer Model Calibration with Time Series Data Using Deep Learning and Quantile Regression Saumya Bhatnagar, University of Cincinnati; Won Chang, University of Cincinnati; Seonjin Kim, Miami University; Jiali Wang, Argonne National Laboratory
10:25 AM	Multi-Scale Vecchia Approximation of Gaussian Processes Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
10:45 AM	Infinite Hidden Markov Model for Multiple Multivariate Time Series with Missing Data Lauren Hoskovec, Colorado State University; Kirsten Koehler, Johns Hopkins University; Jennifer L. Peel, Colorado State University; John Volckens, Colorado State University; Matthew David Koslovsky, Colorado State University; Ander Wilson, Colorado State University
11:05 AM	Space-Time Covariance Models on Networks with an Application on Streams Presentation Jun Tang, University of Iowa; Dale Zimmerman, University of Iowa
11:25 AM	Flexible Nonstationary Spatio-Temporal Modeling of High-Frequency Monitoring Data Christopher Geoga, Rutgers University ; Michael Stein, Rutgers University; Mihai Anitescu, Argonne National Laboratory
11:45 AM	Floor Discussion

361 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Multivariate Ecological Data: Uncovering the Story in the Noise to Inform Species Management and Conservation — Invited Papers
Section on Statistics and the Environment, Section on Statistical Consulting, Center for Statistical Ecological & Environmental Statistics
Organizer(s): Kathryn M Irvine, US Geological Survey
Chair(s): Kathryn M Irvine, US Geological Survey
12:05 PM	Multivariate Bayesian Clustering Using Covariate-Informed Components with Application to Boreal Vegetation Sensitivity Henry Scharf, San Diego State University
12:30 PM	The impacts of sampling design in estimating fish species abundance in fresh water lakes Erin M Schliep, University of Missouri; Joshua S North, University of Missouri
12:55 PM	Joint Modeling Bat Assemblages Using Automatic Recording Devices Meridith L Bartley, USGS; Kathryn M Irvine, US Geological Survey; Rogelio M. Rodriguez, Oregon State University - Cascades; Tomas J. Rodhouse, NPS - Upper Columbia Basin Network; Benjamin D. Neece, Oregon State University - Cascades
1:20 PM	Model-based ordination of multivariate ordinal data with Dirichlet process mixture models Christian Stratton; Andrew Hoegh, Montana State University; Kathryn M Irvine, US Geological Survey; Katharine Banner, Montana State University
1:45 PM	Floor Discussion

408 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Modeling Visitation of Public Lands and Analyzing Visitors’ Sentiments Using Social Media — Topic-Contributed Papers
Section on Statistics and the Environment, WNAR, Section on Statistical Learning and Data Science
Organizer(s): Kimihiro Noguchi, Department of Mathematics, Western Washington University
Chair(s): Ramadha Piyadi Gamage, Western Washington University - Mathematics
2:05 PM	Modeling Recreation on Public Lands Using Social Media and Crowd-Sourced Data Samantha Winder, University of Washington; Emmi Lia, University of Washington; Lesley Miller, University of Washington; Spencer Wood, eScience Institute, University of Washington
2:25 PM	Modeling and Forecasting Percent Changes in National Park Visitation Using Social Media Russell J Goebel, Department of Mathematics & Statistics, Boston University
2:45 PM	Natural Environments and Sentiment Expressed on Twitter Yian Lin, University of Washington; Joshua Lawler, University of Washington
3:05 PM	Discussant: Spencer Wood, eScience Institute, University of Washington
3:25 PM	Discussant: Kimihiro Noguchi, Department of Mathematics, Western Washington University
3:45 PM	Floor Discussion

413	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Analyses of Environmental Data — Contributed Speed
Section on Statistics and the Environment
Chair(s): Jenny Brynjarsdottir, Case Western Reserve University
2:05 PM	How a River’s Length and Discharge Relate to the Precipitation in Its Basin David DiMarco, Neumann University; Ryan Savitz, Neumann University
2:10 PM	A Basic Logistic Regression Approach to Analyzing Hurricanes in the Atlantic Basin Joy Marie D'Andrea, USF
2:15 PM	Changing Seasonality of Daily and Monthly Precipitation Extremes and Their Possible Connections with Large-Scale Climate Patterns Over the Contiguous USA Bhikhari Tharu, Spelman College; Nirajan Dhakal, Spelman College; Ali Aljoda, Spelman College
2:20 PM	Concurrent Functional Regression to Reconstruct River Stage Data During Flood Events Ryan Pittman, University of South Carolina Department of Statistics
2:25 PM	Identification and Uncertainty of Sea Ice Leads Hannah Director, Colorado School of Mines; Douglas Nychka, Colorado School of Mines
2:30 PM	High-Dimensional Inference for Multivariate Extremes with Spatial Scale-Aware Tail Dependence Structures Likun Zhang, Lawrence Berkeley National Laboratory; Mark Risser, Lawrence Berkeley National Laboratory; Benjamin Shaby, Colorado State University
2:35 PM	Bayesian ETAS: Toward Improved Earthquake Rate Models in the Pacific Northwest Max Schneider, University of Washington; Peter Guttorp, University of Washington and Norwegian Computing Center
2:45 PM	A Bayesian Hierarchical Model Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts Stephen Walsh, Virginia Tech; Marco May Ferreira, Virginia Tech Department of Statistics; David Higdon, Virginia Tech; Stephanie Zick, Virginia Tech
2:50 PM	Functional Data Fusion of PM2.5 Observations and Satellite AOD Measurements Zhengyuan Zhu, Iowa State University; Yueying Wang, Iowa State University; Lily Wang, Iowa State University
3:00 PM	A Bayesian Change Point Model for Detecting Linear Changes Across Time for Spatio-Temporal Data Candace Berrett, Brigham Young University; Brianne Gurney, Brigham Young University
3:05 PM	Statistical Downscaling of Sea Surface Temperature from Global Climate Models Ayesha Ekanayaka, University of Cincinnati; Emily Kang, University of Cincinnati; Peter Kalmus, NASA Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
3:10 PM	Prediction and Model Evaluation for Space-Time Data Gregory Watson, UCLA; donatello telesca, UCLA
3:15 PM	On Testing for the Equality of Autocovariance Between Time Series Daniel Cirkovic, Texas A&M University; Thomas J Fisher, Miami University
3:20 PM	Spatial and Spatio-Temporal Scan Statistics of the Regression Coefficients Junho Lee, Baylor University; Jun Zhu, University of Wisconsin-Madison; Ronald Gangnon, University of Wisconsin-Madison; Ying Sun, King Abdullah University of Science and Technology (KAUST)
3:25 PM	A Spatial Dissimilarity Measure for Comparing Spatial Fields Presentation Eric Gilleland, National Center for Atmospheric Research
3:30 PM	Optimal Transport for Analyzing Ocean Data Sangwon Hyun, University of Southern California, Department of Data Science and Operations

419 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Quantifying the Anthropogenic Fingerprint in Climate Change — Invited Papers
Section on Statistics and the Environment, IMS, Section on Nonparametric Statistics
Organizer(s): Jan Beran, University of Konstanz
Chair(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
4:05 PM	A Combined Estimate of Global Temperature Time Series and a Comparison to Climate Models Peter Craigmile, The Ohio State University; Peter Guttorp, University of Washington and Norwegian Computing Center
4:30 PM	Changing Seasons and Related Topics Jan Beran, University of Konstanz; Britta Steffens, University of Konstanz; Sucharita Ghosh, Swiss Federal Research Institute WSL
4:55 PM	What Drives Temperature Anomalies? A Functional SVAR Approach Presentation J. Isaac Miller, University of Missouri; Yoosoon Chang, Indiana University; Joon Y. Park, Indiana University
5:20 PM	Multivariate Integer-Valued Time Series with Flexible Autocovariances and Their Application to Major Hurricane Counts Vladas Pipiras, University of North Carolina at Chapel Hill
5:45 PM	Floor Discussion

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

JSM 2021 Online Program

Activity Details

American Statistical Association