Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

39	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-302
Recent Advancements in the Analysis of Extremes — Contributed Papers
Section on Statistics and the Environment
Chair(s): Andrew Zammit-Mangion, University of Wollongong
2:05 PM	Hierarchical Scale Mixtures for Flexible Spatial Modeling Presentation Likun Zhang, Penn State University; Benjamin Shaby, Pennsylvania State University
2:20 PM	Flexible Sub-Asymptotic Modeling of Threshold Exceedances Using Hierarchical Ratio Models Rishikesh Yadav, King Abdullah University of Science and Technology (KAUST); Raphaël Huser, King Abdullah University of Science and Technology; Thomas Opitz, INRA
2:35 PM	Extremes of the Spatial Impact of Heat Waves Shrijita Bhattacharya, Michigan State University; Stilian Stoev, University of Michigan
2:50 PM	Return Level Estimation for Large Spatial Extremes Danielle Sass, University of Illinois at Urbana-Champaign; Bo Li, University of Illinois at Urbana-Champaign; Brian Reich, North Carolina State University
3:05 PM	Trend Analysis of Extreme Coastal Sea Levels from a Semi-Global Tide Gauge Data Set Presentation Mintaek Lee, Boise State University; Jaechoul Lee, Boise State University
3:20 PM	A Semiparametric Bayesian Spatiotemporal Model for Extreme Value Analysis with Big Data Presentation Arnab Hazra, King Abdullah University of Science and Technology; Raphaël Huser, King Abdullah University of Science and Technology
3:35 PM	Floor Discussion

64 *	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-705
Modeling Uncertainty in Energy Systems — Topic Contributed Papers
Section on Statistics and the Environment, Section on Statistical Computing
Organizer(s): Stefano Castruccio, University of Notre Dame
Chair(s): Stefano Castruccio, University of Notre Dame
4:05 PM	A High Resolution Ensemble to Quantify Wind Energy Resources in Saudi Arabia Paolo Giani, University of Notre Dame; Wanfang Chen, King Abdullah University of Science and Technology; Felipe Tagle, 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
4:25 PM	A Stochastic Generator of Global Wind Ensembles Jaehong Jeong, University of Maine
4:45 PM	Incorporating Photovoltaic and Load Uncertainty into Remote Microgrid Design Optimization Amanda S Hering, Baylor University; David Morton, Northwestern University; Alexander Zolan, University of Texas at Austin; Alexandra Newman, Colorado School of Mines
5:05 PM	Modeling and Prediction of Non-Stationary Gaussian Fields with Application to Wind Data in Saudi Arabia Presentation Amanda Lenzi, King Abdullah University of Science and Technology; Marc Genton, King Abdullah University of Science and Technology; Stefano Castruccio, University of Notre Dame; Håvard Rue, King Abdullah University of Science and Technology
5:25 PM	Assessing Wind Energy Resources in the New Mega-City NEOM Marc Genton, King Abdullah University of Science and Technology
5:45 PM	Floor Discussion

84	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-707
Environmental Applications — Contributed Papers
Section on Statistics and the Environment
Chair(s): Julia Benoit, University of Houston
4:05 PM	Hyperbolic Property of Earthquake Networks Presentation Karla Henricksen; Ilya Zaliapin, University of Nevada, Reno
4:20 PM	A Glimpse into the “Electricity Initiative” at the U.S. Energy Information Administration Presentation Greg Lawson, U.S. Energy Information Administration; April Lee, U.S. Energy Information Administration
4:35 PM	Transitioning to a New Publication Standard for Official Crops County Estimates Presentation Nathan Cruze, USDA National Agricultural Statistics Service; Linda J Young, USDA National Agricultural Statistics Service
4:50 PM	Uncertainty Quantification for Glacier Mass Balance Measurement Presentation Laura Boehm Vock, Gustavus Adolphus College; Jeff La Frenierre, Gustavus Adolphus College
5:05 PM	Revisiting Environmental Kuznets Curve in China: a Spatial Dynamic Panel Data Approach Presentation Hsuan-Yu CHANG, Peking University, Guanghua School of Management ; Jihai Yu, Peking University, Guanghua School of Management
5:20 PM	Connecting Disconnected Designs Presentation Yanming Di, Oregon State University
5:35 PM	A Sandwich Smoother for Spatio-Temporal Arrays and Time Series Joshua French, University of Colorado Denver; Piotr Kokoszka, Colorado State University

218845	Mon, 7/29/2019, 7:00 AM - 8:30 AM	H-Granite A
Section on Statistics and the Environment Business Meeting — Other Cmte/Business
Section on Statistics and the Environment
Chair(s): Christopher K. Wikle, University of Missouri

121 *	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-708
Handling Large Dimensionality, Skewness and Non-Stationarity Through Multi-Resolution Spatial Modeling — Topic Contributed Papers
Section on Statistics and the Environment, Section on Bayesian Statistical Science, Section on Statistical Computing
Organizer(s): Veronica J. Berrocal, University of Michigan
Chair(s): Veronica J. Berrocal, University of Michigan
8:35 AM	Models for Large Multivariate Spatial Data Soutir Bandyopadhyay, Colorado School of Mines
8:55 AM	A Bi-Resolution Spatial Model Based on the Skew-T Distribution Stefano Castruccio, University of Notre Dame; Felipe Tagle, University of Notre Dame; Marc Genton, King Abdullah University of Science and Technology
9:15 AM	Using the MRA Approximation to Integrate Multiple Data Sources on Temperature Presentation Colin Lewis-Beck; Veronica J. Berrocal, University of Michigan; Joon Jin Song, Baylor University
9:35 AM	Multi-Scale Models for Large Non-Stationary Spatial Data Sets Bruno Sanso, University of California Santa Cruz; Daniel Kirsner, University of California Santa Cruz; Rajarshi Guhaniyogi, University of California, SC
9:55 AM	Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data Andrew Finley, Michigan State University; Shinichiro Shirota, University of California, Los Angeles; Sudipto Banerjee, UCLA
10:15 AM	Floor Discussion

151 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-505
Beyond the VAR: Advances in Spatial and Spatio-Temporal Modeling for Climate and Environmental Data — Invited Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, National Research Center for Statistics for the Environment
Organizer(s): Laura L Tupper, Williams College
Chair(s): Hannah Director, University of Washington
10:35 AM	Spatial Extreme Value Analysis Presentation Eric Gilleland, National Center for Atmospheric Research
11:00 AM	Modeling Spatio-Temporal Clustering Behavior for Climate Data Laura L Tupper, Williams College
11:25 AM	Hybrid Statistical/Machine Learning Deep Dynamical Spatio-Temporal Models for Evaluating Climate Impacts Presentation Christopher K. Wikle, University of Missouri
11:45 AM	Understanding Urban Pollution Through Spatial-Temporal Modeling Presentation Katherine Ensor, Rice University; Julia Schedler, Rice University
12:15 PM	Floor Discussion

168	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-501
SPEED: Environmental Statistics Methods and Applications, Part 1 — Contributed Speed
Section on Statistics and the Environment, Section on Bayesian Statistical Science
Chair(s): Trevor Hefley, Kansas State University
Poster Presentations for this session.
10:35 AM	Bias Correction of Bounded Location Error in Binary Data Presentation Nelson Walker, Kansas State University; Trevor Hefley, Kansas State University; Daniel Walsh, US Geological Survey
10:40 AM	Marked Determinantal Point Processes Presentation 1 Presentation 2 Yiming Feng, Florida State University; Fred Huffer, Florida State University
10:45 AM	A Meta-Analysis of Bald and Golden Eagle Productivity Accounting for Spatial and Temporal Studies Presentation Mark Otto, Fish and Wildlife Service
10:50 AM	Multi-Scale Vecchia Approximations of Gaussian Processes Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A & M University
10:55 AM	Yield Forecasting Based on Short Time Series with High Spatial Resolution Data Sayli Pokal, University of Nebraska-Lincoln; Yuzhen Zhou, University of Nebraska Lincoln; Trenton Franz, University of Nebraska Lincoln
11:00 AM	Statistical Postprocessing for Seasonal Weather Forecasts Presentation Claudio Heinrich
11:05 AM	Reconstruction of Alnus Viridis Glacial Refugia Through Data Integration Presentation Mauricio Campos, University of Illinois at Urbana Champaign; Bo Li, University of Illinois at Urbana-Champaign; Shreya Khurana, University of Illinois at Urbana Champaign; Joseph Napier, University of Illinois at Urbana Champaign; Guillaume deLafontaine, Université du Québec à Rimouski UQAR; Feng Sheng Hu, University of Illinois at Urbana Champaign
11:10 AM	Characterization of Spatial and Temporal Trends of Extreme Precipitation Using Functional Principal Component Analysis Miyabi Ishihara, UC Berkeley; Christopher Paciorek, University of California; Mark Risser, Lawrence Berkeley National Laboratory; Michelle Yu, University of California, Berkeley
11:15 AM	Impact of ENSO and NAO on Extreme Monthly Precipitation of the USA Presentation BHIKHARI THARU, Spelman College
11:20 AM	Predictive Model Checking of a Wildlife Occupancy Model with a Partially-Known Stopping Rule Presentation Aaron Springford, Weyerhaeuser; Jay Jones, Weyerhaeuser
11:30 AM	Prenatal Exposure to PM2.5 Species and DNA Methylation in Newborns: a Novel Statistical Framework Jenny Lee, Harvard School of Public Health; Tamar Sofer, Brigham and Women’s Hospital, Harvard Medical School; Andres Cardenas, University of California, Berkeley - School of Public Health; Brent A. Coull, Harvard T. H. Chan School of Public Health
11:35 AM	Benefits of Monte Carlo Imputation of Non-Detects in Environmental Data Presentation 1 Presentation 2 Kirk Cameron, Macstat Consulting, Ltd.
11:40 AM	Trend Assessment for Daily Snow Depths with Changepoints Considerations Presentation Jaechoul Lee, Boise State University; Robert Lund, Clemson University; Jonathan Woody, Mississippi State University; Yang Xu, Mississippi State University
11:45 AM	Classifying Geographic Regions with Imperfect Labels Forrest Paton, McMaster University; Paul D McNicholas, McMaster University
11:50 AM	Temporal Effects Comparison Across Four Treatments Applied to Ponderosa Pine for the Suppression and Prevention of Elytroderma Needle Disease Presentation Ekaterina Smirnova, Virginia Commonwealth University; Joel M Egan, US Forest Service; Leonid Kalachev, University of Montana; John Goodburn, University of Montana; Kathleen Mckeever, US Forest service
11:55 AM	A Daily Rainfall Model for Multiple Sites for Use in Statistical Downscaling Yiming Liu, University of New Hampshire; Ernst Linder, University of New Hampshire
12:00 PM	Uncertainty Quantification for Joint Retrieval of Temperature, Humidity, and Cloud States from Satellite Data Jonathan Hobbs, Jet Propulsion Laboratory
12:05 PM	Spatially Informed Aggregation of Orbiting Carbon Observatory Measured XCO2 for Global Flux Inversion Presentation Joaquim Teixeira, NASA Jet Propulsion Laboratory
12:10 PM	Bayesian Analysis of Multifidelity Computer Models with Local Features and Non-Nested Experimental Designs Presentation Bledar Konomi, University of Cincinnati; Georgios Karagiannis, Durham University
12:15 PM	Floor Discussion

190	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Section on Statistics and the Environment — Contributed Poster Presentations
Section on Statistics and the Environment
Chair(s): Wendy Meiring, University of California At Santa Barbara
59:	The Nexus of Climate Data, Insurance, and Adaptive Capacity Robert Erhardt, Wake Forest University
60:	Applying Design of Experiments to Numerical Weather Prediction Jeffrey Smith, U.S. Army Research Laboratory; Judah L. Cleveland, US Army Research Laboratory; John W. Raby, US Army Research Laboratory; Richard S. Penc, US Army Research Laboratory
61:	Estimation and Selection for Spatial Regression When Fixed Effects and Random Effects Are Correlated Chun-Shu Chen, National Changhua University of Education; Hong-Ding Yang, National Changhua University of Education; Yung-Huei Chiou, National Changhua University of Education
63:	Bayesian Covariance Estimation for Large Spatial Data Brian Kidd, Texas A&M University; Matthias Katzfuss, Texas A & M University
64:	An Adapted VAR-EM (AVAR-EM) Imputation Algorithm to Populate a Broken Historical Climate Record Benjamin Washington, The University of Georgia; Lynne Seymour, University of Georgia
65:	Some Results on Use-Availability Models for Presence-Only Data from Multiple Species Nels Johnson, US Forest Service, Pacific Southwest Research Station
67:	Validation and Uncertainty Quantification of Forecast Rainfall from Hurricanes and Tropical Storms Stephen Walsh, Virginia Tech; Marco Ferreira, Virginia Tech; Stephanie Zick, Virginia Tech
68:	Measuring Increases in Fire Weather Severity and Its Risk to Human Populations Geoffrey Peterson, U.S. Environmental Protection Agency
69:	A Penalized H-Likelihood Method for Gaussian Spatial Additive Model on Regular Lattice Hao Sun, Iowa State University; Somak Dutta, Iowa State University
70:	Diversity of Forest Structure Across the United States J. Gilbert, Purdue University; S. Fei, Purdue University; J. Knott, Purdue University; E. LaRue, Purdue University; K. Potter, North Carolina State University
71:	Modeling Air Pollution in Beijing with Meteorological Data Ying Zhang, Pennsylvania State University; Song Xi Chen, Peking University; Le Bao, Pennsylvania State University
72:	Tail Dependence of Normal Mean-Variance Mixtures Zhongwei Zhang; Raphaël Huser, King Abdullah University of Science and Technology
73:	Modeling Spatial Extremes with Max-Infinitely Divisible Models Peng Zhong, KAUST; Raphaël Huser, King Abdullah University of Science and Technology
74:	Mixed-Effect Model Using Shape-Constrained Regression Splines, with Application to Tree Height Estimation Xiyue Liao, University of California, Santa Barbara; Mary C Meyer , Colorado State University
75:	Modeling How Beach Characteristics, Predation, and Bird’s Tolerance of Humans Affect Piping Plovers (Charadrius Melodus) Samantha Smock, Purdue University; Alex Cohen, Purdue University; Patrick Zollner, Purdue University
76:	Models and Inference for Spatial Extremes Based on Tree-Based Multivariate Pareto Distributions Daniela Cisneros; Raphaël Huser, King Abdullah University of Science and Technology
77:	Split and Combine SIMEX Algorithm to Correct Geocoding Coarsening of Built Environment Exposures Jung Yeon Won; Brisa Sánchez, Drexel University
78:	Exploratory Analysis of Hurricane Storm Surge Qiuyi Wu; Whitney Huang, Statistical and Applied Mathematical Sciences Institute
79:	Extending Nearest-Neighbor GPs for Non-Gridded Data Imputation Christopher Grubb, Virginia Tech; Shyam Ranganathan, Virginia Tech
80:	Scalable Smoother to Improve Particle Filtering of Spatially-Extended Data Gregor Robinson, University of Colorado Boulder; Ian Grooms, University of Colorado Boulder; William Kleiber, University of Colorado
81:	Computational Advances for the Product-Sum Spatio-Temporal Model Michael Dumelle; Jay Ver Hoef, National Oceanic and Atmospheric Administration; Claudio Fuentes, Oregon State University; Alix Gitelman, Oregon State University
83:	Covariate-Driven Non-Stationary Models in Stan with Application to Water Quality in North American Lakes Pavel Chernyavskiy, University of Wyoming; Marie-Agnes Tellier, University of Wyoming; Sarah M Collins, University of Wyoming
84:	Statistical Analysis on Trichloroethylene Degradation in a Bioreactor via a Response Surface Modeling Approach Feng Yu, RTI International; Breda Munoz, RTI International
85:	A Latent Discrete Markov Field Approach for Identifying and Classifying Historical Forest Communities Based on Spatial Multivariate Tree Species Counts Stephen Berg; Jun Zhu, University of Wisconsin - Madison; Murray Clayton, University of Wisconsin-Madison; Monika Shea, University of Wisconsin-Madison; David Mladenoff, University of Wisconsin-Madison
86:	Comparison of small prairie mammals' dietary intake using carbon and nitrogen stable isotope data Yilin Song, St. Olaf College; Lisa Fisher, St. Olaf College; Liz Wilson, St. Olaf College; Julie Legler, St. Olaf College; Diane Angel, St. Olaf College
87:	Random Forest Models for the Probable Biological Condition of Streams and Rivers in the USA Eric Fox, Cal State East Bay, Department of Statistics

226 *	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-111
Causal Inference with Spatial Environmental Data — Topic Contributed Papers
Royal Statistical Society, Section on Statistics and the Environment, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Corwin Zigler, University of Texas at Austin
Chair(s): Corwin Zigler, University of Texas at Austin
2:05 PM	Causal Spatial Analysis in the Presence of Unmeasured Confounders Presentation Brian Reich, North Carolina State University; Shu Yang, North Carolina State University; Yawen Guan, North Carolina State University
2:25 PM	Causal Inference with Interfering Units for Cluster and Population Level Treatment Allocation Programs Presentation Georgia Papadogeorgou, Duke; Fabrizia Mealli, University of Florence; Corwin Zigler, University of Texas at Austin
2:45 PM	Measurement Error, Spatial Confounding, and Changing Target Populations Joshua Keller, Colorado State University
3:05 PM	Causal Inference and Casual Spatial Models: The Importance of Modeling Mechanism in Spatial Data Presentation Ephraim Hanks, Pennsylvania State University
3:25 PM	Floor Discussion

249 !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-210/212
The Climate Program at SAMSI — Contributed Papers
Section on Statistics and the Environment
Chair(s): William Christensen, BYU Department of Statistics
2:05 PM	Statistics for Ocean Heat Content Estimation with Argo Profiling Floats Mikael Kuusela, Carnegie Mellon University; Donata Giglio, University of Colorado Boulder; Anirban Mondal, Case Western Reserve University; Michael Stein, University of Chicago
2:20 PM	Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles Yawen Guan, North Carolina State University; Margaret Johnson, JPL; Matthias Katzfuss, Texas A & M University; Elizabeth Mannshardt, US Environmental Protection Agency; Kyle Messier, Oregon State University; Brian Reich, North Carolina State University; Joon Jin Song, Baylor University
2:35 PM	Hierarchical Multi-Resolution Spatial-Temporal Functional Imputation for Large Satellite Image Data Zhengyuan Zhu, Iowa State University; Weicheng Zhu, Amazon
2:50 PM	Ice Model Calibration Using Semi-Continuous Spatial Data Presentation Won Chang, University of Cincinnati; Alex Konomi, University of Cincinnati; Yawen Guan, North Carolina State University; Murali Haran, Penn State University; Georgios Karagiannis, Durham University
3:05 PM	A Projection-Based Method for Modeling High-Dimensional Zero-Inflated Spatial Data Seiyon Lee, Pennsylvania State University; Murali Haran, The Pennsylvania State University
3:20 PM	Multiscale Characterization of Wind Speed and Its Extremes Presentation Julie Bessac, Argonne National Laboratory; Emil Constantinescu , Argonne National Laboratory
3:35 PM	Floor Discussion

260	Mon, 7/29/2019, 3:05 PM - 3:50 PM	CC-Hall C
SPEED: Environmental Statistics Methods and Applications, Part 2 — Contributed Poster Presentations
Section on Statistics and the Environment, Section on Bayesian Statistical Science
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
20:	Bias Correction of Bounded Location Error in Binary Data Nelson Walker, Kansas State University; Trevor Hefley, Kansas State University; Daniel Walsh, US Geological Survey
21:	Marked Determinantal Point Processes Yiming Feng, Florida State University; Fred Huffer, Florida State University
22:	A Meta-Analysis of Bald and Golden Eagle Productivity Accounting for Spatial and Temporal Studies Mark Otto, Fish and Wildlife Service
23:	Multi-Scale Vecchia Approximations of Gaussian Processes Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A & M University
24:	Yield Forecasting Based on Short Time Series with High Spatial Resolution Data Sayli Pokal, University of Nebraska-Lincoln; Yuzhen Zhou, University of Nebraska Lincoln; Trenton Franz, University of Nebraska Lincoln
25:	Statistical Postprocessing for Seasonal Weather Forecasts Claudio Heinrich
26:	Reconstruction of Alnus Viridis Glacial Refugia Through Data Integration Mauricio Campos, University of Illinois at Urbana Champaign; Bo Li, University of Illinois at Urbana-Champaign; Shreya Khurana, University of Illinois at Urbana Champaign; Joseph Napier, University of Illinois at Urbana Champaign; Guillaume deLafontaine, Université du Québec à Rimouski UQAR; Feng Sheng Hu, University of Illinois at Urbana Champaign
27:	Characterization of Spatial and Temporal Trends of Extreme Precipitation Using Functional Principal Component Analysis Miyabi Ishihara, UC Berkeley; Christopher Paciorek, University of California; Mark Risser, Lawrence Berkeley National Laboratory; Michelle Yu, University of California, Berkeley
28:	Impact of ENSO and NAO on Extreme Monthly Precipitation of the USA BHIKHARI THARU, Spelman College
29:	Predictive Model Checking of a Wildlife Occupancy Model with a Partially-Known Stopping Rule Aaron Springford, Weyerhaeuser; Jay Jones, Weyerhaeuser
30:	Prenatal Exposure to PM2.5 Species and DNA Methylation in Newborns: a Novel Statistical Framework Jenny Lee, Harvard School of Public Health; Tamar Sofer, Brigham and Women’s Hospital, Harvard Medical School; Andres Cardenas, University of California, Berkeley - School of Public Health; Brent A. Coull, Harvard T. H. Chan School of Public Health
31:	Benefits of Monte Carlo Imputation of Non-Detects in Environmental Data Kirk Cameron, Macstat Consulting, Ltd.
32:	Trend Assessment for Daily Snow Depths with Changepoints Considerations Jaechoul Lee, Boise State University; Robert Lund, Clemson University; Jonathan Woody, Mississippi State University; Yang Xu, Mississippi State University
33:	Classifying Geographic Regions with Imperfect Labels Forrest Paton, McMaster University; Paul D McNicholas, McMaster University
34:	Temporal Effects Comparison Across Four Treatments Applied to Ponderosa Pine for the Suppression and Prevention of Elytroderma Needle Disease Ekaterina Smirnova, Virginia Commonwealth University; Joel M Egan, US Forest Service; Leonid Kalachev, University of Montana; John Goodburn, University of Montana; Kathleen Mckeever, US Forest service
35:	A Daily Rainfall Model for Multiple Sites for Use in Statistical Downscaling Yiming Liu, University of New Hampshire; Ernst Linder, University of New Hampshire
36:	Uncertainty Quantification for Joint Retrieval of Temperature, Humidity, and Cloud States from Satellite Data Jonathan Hobbs, Jet Propulsion Laboratory
37:	Spatially Informed Aggregation of Orbiting Carbon Observatory Measured XCO2 for Global Flux Inversion Joaquim Teixeira, NASA Jet Propulsion Laboratory
38:	Bayesian Analysis of Multifidelity Computer Models with Local Features and Non-Nested Experimental Designs Bledar Konomi, University of Cincinnati; Georgios Karagiannis, Durham University
Oral Presentations for this session.

219175	Mon, 7/29/2019, 5:00 PM - 7:00 PM	Off Site
Section on Statistics and the Environment Mixer — Other Cmte/Business
Section on Statistics and the Environment
Chair(s): Christopher K. Wikle, University of Missouri

308	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-203
Recent Advancements in Spatial and Spatio-Temporal Modeling — Contributed Papers
Section on Statistics and the Environment
Chair(s): Alexandra Schmidt, McGill University
8:35 AM	Spatio-Temporal Cross-Covariance Functions Under the Lagrangian Framework Presentation 1 Presentation 2 Mary Lai Salvana, KAUST; Amanda Lenzi, King Abdullah University of Science and Technology; Marc Genton, King Abdullah University of Science and Technology
8:50 AM	Surface Estimation for Multiple Misaligned Data Sets Presentation Ashton Wiens, University of Colorado Boulder; William Kleiber, University of Colorado
9:05 AM	Bayesian Selection of Tuning Parameters Presentation 1 Presentation 2 Nathan Wikle, Pennsylvania State University; Ephraim Hanks, Pennsylvania State University
9:20 AM	Spatially Varying Coefficients Models: How Maximum Likelihood Estimation Stacks up Against Other Methods Presentation Jakob Dambon, University of Zurich; Reinhard Furrer, University of Zurich; Fabio Sigrist, Lucerne University of Applied Sciences and Arts
9:35 AM	Modeling Multivariate Spatial Processes with Applications in Remote Sensing Emily Lei Kang, University of Cincinnati; Miaoqi Li, University of Cincinnati; Kerry Cawse-Nicholson, Jet Propulsion Laboratory, California Institute of Technology; Amy J Braverman, Jet Propulsion Laboratory, California Institute of Technology
9:50 AM	Semiparametric Estimation of Cross-Covariance Functions for Multivariate Random Fields Presentation Ghulam Qadir, King Abdullah University of Science and Technology (KAUST); Ying Sun, King Abdullah University of Science and Technology
10:05 AM	Estimation of the Degree of Non-Stationarity and Universal Kriging on a Sphere Based on Intrinsic Random Function Theory Presentation Jacob Shields, Elanco Animal Health; Nicholas Bussberg, Indiana University; Chunfeng Huang, Indiana University

317 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-607
Uncertainty Quantification in Various Applications — Invited Papers
ASA Advisory Committee on Climate Change Policy, Section on Physical and Engineering Sciences, Section on Statistics and the Environment
Organizer(s): Bo Li, University of Illinois at Urbana-Champaign
Chair(s): Bo Li, University of Illinois at Urbana-Champaign
10:35 AM	Computer Experiments with Binary Time Series and Applications to Cell Biology: Modeling, Estimation and Calibration C F Jeff Wu, Georgia Inst of Technology; Ying Hung, Rutgers University
11:00 AM	Uncertainty Quantification in Assessing the Hazard from Pyroclastic Flows and Storm Surge Presentation James Berger, Duke University
11:25 AM	Uncertainty Estimates for Environmental Time Series Presentation Michael Stein, University of Chicago
11:50 AM	Discussant: Brian Reich, North Carolina State University
12:15 PM	Floor Discussion

331 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-709
Advances in the Analysis of Massive Space-Time Data Sets Using High Performance Computing — Topic Contributed Papers
Section on Statistics and the Environment, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Florian Gerber, Colorado School of Mines
Chair(s): Joseph Guinness, Cornell University
10:35 AM	Implementing Spatial Statistical Methods for Massive Data Dorit Hammerling, National Center for Atmospheric Research; Huang Huang, National Center for Atmospheric Research; Lewis Blake, Colorado School of Mines
10:55 AM	Scalable Gapfilling in Spatio-Temporal Remote Sensing Data Presentation Reinhard Furrer, University of Zurich
11:15 AM	Detecting Changes in Precipitation Extremes at Their Native Scales Over the Contiguous United States Presentation Mark Risser, Lawrence Berkeley National Laboratory; Christopher Paciorek, University of California; Michael Wehner, Lawrence Berkeley National Laboratory; Travis O'Brien, Lawrence Berkeley National Laboratory; William Collins, Lawrence Berkeley National Laboratory
11:35 AM	Nonstationary Spatial Data: Think Globally Act Locally Presentation Douglas William Nychka, NCAR
11:55 AM	GPU Accelerated Deep Learning for Climate and Weather Presentation David Hall, NVIDIA
12:15 PM	Floor Discussion

382 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-707
Climate Networks and Extremes — Invited Papers
Section on Risk Analysis, Section on Physical and Engineering Sciences, Section on Statistics and the Environment
Organizer(s): Snigdhansu Chatterjee, University of Minnesota
Chair(s): Snigdhansu Chatterjee, University of Minnesota
2:05 PM	Chi Network: an Exploratory Tool for Extremal Dependence Dan Cooley, Colorado State University; Whitney Huang, Statistical and Applied Mathematical Sciences Institute
2:35 PM	An Overview of Network Methods Focusing on Extremal Dependence Imme Ebert-Uphoff, Colorado State University
3:05 PM	Modeling Future Climate-Induced Insurance Risk as Multi-Layer Networks Yulia Gel, University of Texas at Dallas; Vyacheslav Lyubchich, University of Maryland Center for Environmental Science; Asim Dey, University of Texas at Dallas; Monisha Yuvaraj, University of Texas at Dallas
	Discussant: Robert Lund, Clemson University
3:35 PM	Floor Discussion

386 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-201
Filtering Methods for Spatio-Temporal Big Data Applications — Invited 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): Christopher K. Wikle, University of Missouri
2:05 PM	Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models Matthias Katzfuss, Texas A & M University; Christopher K. Wikle, University of Missouri; Jonathan R Stroud, Georgetown University
2:30 PM	Nonlinear, Non-Gaussian Extensions for Serial Ensemble Filter Data Assimilation Presentation Jeffrey Anderson, National Center for Atmospheric Research
2:55 PM	Improving Particle Filter Performance in Spatially-Extended Problems by Smoothing Observations Presentation Ian Grooms, University of Colorado Boulder; Gregor Robinson, University of Colorado Boulder; William Kleiber, University of Colorado
3:20 PM	Particle Filters in High Dimensions Presentation Peter Jan van Leeuwen, Colorado State University and University of Reading (UK); Manuel Pulido, University of Reading
3:45 PM	Floor Discussion

414	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-203
Models for Environmental Processes — Contributed Papers
Section on Statistics and the Environment
Chair(s): Yawen Guan, North Carolina State University
2:05 PM	Mobile Methane Sensors: Addressing Important Natural Gas Infrastructure Questions Presentation Zachary Weller; Joseph von Fischer, Colorado State University
2:20 PM	Penalized Basis Models for Very Large Spatial Data Sets Presentation Mitchell Krock, University of Colorado at Boulder; William Kleiber, University of Colorado; Stephen Becker, University of Colorado
2:35 PM	Flexible Quantile Contours for Multivariate Functional Data: Beyond Convexity Gaurav Agarwal, King Abdullah University of Science and Technology (KAUST); Ying Sun, King Abdullah University of Science and Technology
2:50 PM	Robust Functional Multivariate Analysis OfVariance with Environmental Applications Zhuo Qu, KAUST; Marc Genton, King Abdullah University of Science and Technology; Wenlin Dai, Renmin University of China
3:05 PM	Spatial Cluster Detection with Threshold Quantile Regression Presentation Junho Lee, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology; Huixia Judy Wang, The George Washington University
3:20 PM	Characterizing Global Spatio-Temporal Patterns of Crop Production Using Multilevel Network Analysis Srishti Vishwakarma, University of Maryland Center for Environmental Science; Vyacheslav Lyubchich, University of Maryland Center for Environmental Science; Xin Zhang, University of Maryland Center for Environmental Science
3:35 PM	Combining Air Pollution Estimates from Multiple Statistical Models Using Spatial Bayesian Ensemble Averaging Nancy L Murray, Emory University; Howard Chang, Emory

450 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-203
Quantitative Inference for the Global Carbon Cycle — Invited Papers
Section on Statistics and the Environment, WNAR, Section on Physical and Engineering Sciences
Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
Chair(s): William Kleiber, University of Colorado
8:35 AM	Spatial Retrievals of Carbon Dioxide from the OCO-2 Satellite Matthias Katzfuss, Texas A & M University; Jonathan Hobbs, Jet Propulsion Laboratory; Jenny Brynjarsdottir, Case Western Reserve University; Anirban Mondal, Case Western Reserve University; Daniel Zilber
9:00 AM	Obtaining Carbon Dioxide Flux Estimates from Atmospheric Inversions of Carbon Dioxide Data: Current Methodologies, Successes and Challenges Presentation Andrew Eugene Schuh, Cooperative Institute for Research in the Atmosphere
9:25 AM	The Role of Satellite Data in Making Bayesian Inference on Carbon Dioxide Fluxes: Where, When, How Much, and How Certain? Noel Cressie, University of Wollongong; Andrew Zammit-Mangion, University of Wollongong
9:50 AM	Influence of Prior Covariance Structure on Inverse Estimates of Co2 Fluxes in Los Angeles Basin Vineet Yadav, Jet Propulsion Laboratory, California Institute of Technoloty
10:15 AM	Floor Discussion

461 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-704
Bayesian Statistical Methods for High-Throughput Toxicity Testing and Risk Assessment — Topic Contributed Papers
Section on Risk Analysis, Section on Statistics and the Environment, Section on Bayesian Statistical Science
Organizer(s): Michael Pennell, Ohio State University
Chair(s): Jonathan Race, The Ohio State University
8:35 AM	Using ToxCast Data for Statistical Research in Chemical Risk Assessment. Presentation Matthew W Wheeler, CDC/NIOSH
8:55 AM	Nonparametric Bayesian Joint Modeling of High-Throughput and Low-Throughput Genotoxicity Data Presentation Michael Pennell, Ohio State University; Matthew W Wheeler, CDC/NIOSH
9:15 AM	Bayesian Partially Shared Latent Factor Joint Model for Chemical Structure and Dose Response Curves Presentation Kelly R. Moran, Duke University; Amy H Herring, Duke University; David Dunson, Duke University
9:35 AM	Linked Matrix Factorization Presentation Michael O'Connell, Miami University
9:55 AM	Hierarchical Bayesian Methods for High-Throughput in Vitro Population-Based Chemical Screening Presentation Weihsueh Chiu, Texas A&M University; Fred A Wright, North Carolina State University; Ivan Rusyn, Texas A&M University
10:15 AM	Floor Discussion

487 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-111
Spatio-Temporal Statistics in Health Applications — Invited Papers
ENAR, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Abhi Datta, Johns Hopkins Bloomberg School of Public Health
Chair(s): Abhi Datta, Johns Hopkins Bloomberg School of Public Health
10:35 AM	Using Air Quality Data Fusion Products for Epidemiological Research Presentation Howard Chang, Emory
11:00 AM	A Multivariate Spatio-Temporal Model for Dengue, Zika, and Chikungunya Outbreaks in Rio De Janeiro, Brazil Alexandra Schmidt, McGill University
11:25 AM	A Unified Exposure Prediction Approach for Multivariate Spatial Data Roman Jandarov, University of Cincinnati College of Medicine; Zheng Zhu, University of Cincinnati College of Medicine
11:50 AM	Estimating and Explaining Spatially Varying Seasonal Cycles of RSV Matthew Heaton, Brigham Young University; Celeste Ingersoll, Brigham Young University; Brian Hartman, Brigham Young University; Candace J. Berrett, Brigham Young University; Chantel Sloan, Brigham Young University
12:15 PM	Floor Discussion

497 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-507
ENVR Student Paper Awards — Topic Contributed Papers
Section on Statistics and the Environment
Organizer(s): Brian Reich, North Carolina State University
Chair(s): Brian Reich, North Carolina State University
10:35 AM	Multi-Resolution Filters for Massive Spatio-Temporal Data Marcin Jurek, Texas A & M University; Matthias Katzfuss, Texas A & M University
10:55 AM	Adaptive Ensemble Learning for Spatiotemporal Processes with Calibrated Predictive Uncertainty: a Bayesian Nonparametric Approach Presentation Jeremiah Liu
11:15 AM	Matching on Generalized Propensity Scores with Continuous Exposures Presentation Xiao Wu, Harvard University; Fabrizia Mealli, University of Florence; Marianthi-Anna Kioumourtzoglou, Mailman School of Public Health, Columbia University; Francesca Dominici, Harvard T.H. Chan School of Public Health; Danielle Braun, Harvard University
11:35 AM	Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid Presentation Yuan Yan, Dalhousie University; Marc Genton, King Abdullah University of Science and Technology; Hsin-Cheng Huang, Academia Sinica
11:55 AM	Discussant: Joseph Guinness, Cornell University
12:15 PM	Floor Discussion

561 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-105
Small Data, Big Impact — Topic Contributed Papers
Section on Statistics in Defense and National Security, Section on Statistics and the Environment, Section on Physical and Engineering Sciences
Organizer(s): Lyndsay Shand, Sandia National Laboratories
Chair(s): Alexander Foss, Sandia National Laboratories
2:05 PM	Combining Information to Assess the Reliability of Complex Systems Presentation Alyson Wilson, North Carolina State University
2:25 PM	Big Datum: Modeling the Universe and Other Smaller Things Earl Christopher Lawrence, Los Alamos National Laboratory
2:45 PM	Sea Ice Computer Model Calibration Using Space Filling Curves Presentation Derek Tucker, Sandia National Laboratories; Joel Upston, University of New Mexico; Deborah Sulsky, University of New Mexico
3:05 PM	Gradient Boosting Trees for Spatial Data Prediction Presentation Bo Li, University of Illinois at Urbana-Champaign; Peng Wang, University of Cincinnati; Yunzhang Zhu, The Ohio State University
3:25 PM	Spatial Statistics for the Computational Simulation of Complex Material Microstructures Presentation Lyndsay Shand, Sandia National Laboratories; Dan Bolintineanu, Sandia National Laboratories
3:45 PM	Floor Discussion

564 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-112
Analysis of Left-Censored Data (E.G., Below Detection): Real-World Problems in Need of Statisticians — Topic Contributed Papers
Biometrics Section, Lifetime Data Science Section, Section on Statistics and the Environment
Organizer(s): Brenda W Gillespie, University of Michigan
Chair(s): Alexander C McLain, University of South Carolina
2:05 PM	How Many Licks Does it Take? Measuring Beryllium in the Workplace Presentation Brian Weaver; Kimberly Kaufeld, Los Alamos National Laboratory; Richard Warr, Brigham Young University
2:25 PM	Quantifying Information in Left-Censored Data: Why the Percent Censored Is a Misleading Metric Presentation Brenda W Gillespie, University of Michigan
2:45 PM	Profile Likelihood Estimation of the Correlation Coefficient in the Presence of Left, Right or Interval Censoring and Missing Data Yanming Li, University of Michigan; Brenda W Gillespie, University of Michigan; Kerby Shedden, University of Michigan; John Gillespie, University of Michigan -Dearborn
3:05 PM	Accommodating Multiple Correlated Measurements Subject to Left-Censoring Due to Assay Limits of Detection: a Novel Application of Multivariate Time-To-Event Regression Shanshan Zhao, National Institute of Environmental Health Sciences; Ling-Wan Chen, NIEHS
3:25 PM	Discussant: William Q. Meeker, Iowa State University
3:45 PM	Floor Discussion

577	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-104
Statistical Models in Ecology — Contributed Papers
Section on Statistics and the Environment
Chair(s): Jonathan Hobbs, Jet Propulsion Laboratory
2:05 PM	A Spatial Field Decomposition Approach to Evaluate Biodiversity Indices on Dominant Scales Presentation Roman Charles Flury, University of Zurich; Reinhard Furrer, University of Zurich
2:20 PM	Identifying and Characterizing Extrapolation in Multivariate Response Data Presentation Meridith Bartley, Penn State University; Ephraim Hanks, Pennsylvania State University; Tyler Wagner, Penn State University ; Erin Schliep, University of Missouri; Patricia Soranno, Michigan State University
2:35 PM	Bayesian Hierarchical Normal Intrinsic Conditional Autoregressive Model for Stream Networks Presentation Yingying Liu, Biogen; Kate Cowles, University of Iowa
2:50 PM	A Time Series Clustering Approach for Classification of Intermittent Streams Claudio Fuentes, Oregon State University; Jeffrey Mintz, Oregon State University; Xiaohui Chang, Oregon State University; James Molyneux, Oregon State University; Ivan Arismendi, Oregon State University
3:05 PM	Integrating Spatial-Capture Recapture Models into Spatially Explict Disease Simulations Presentation Robin Russell, US Geological Survey; Daniel Walsh, US Geological Survey; Tonie Rocke, US Geological Survey; Martin Grunnill, US Geological Survey and University of Wisconsin
3:20 PM	Uncovering Statistical Idiosyncrasies of Acoustic Bat Data Kathryn Irvine, US Geological Survey; Wilson Wright, Montana State Univsersity; Katharine Banner, Montana State University; Thomas Rodhouse, National Park Service; Andrea Litt, Montana State University
3:35 PM	Accounting for Location Uncertainty in Model-Based Distance Sampling Methods Trevor Hefley, Kansas State University; Alice Boyle, Kansas State University; Narmadha Mohankumar, Kansas State University

581	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-701
Advancement in Theoretical and Applied Aspects of Modeling — Contributed Papers
Government Statistics Section, Section on Statistics and the Environment, Section on Statistics in Epidemiology
Chair(s): Anne Parker, Internal Revenue Service
2:05 PM	Zero-Inflated Count Time Series Regression Models Mohammed Alqawba; Norou Diawara, Old Dominion University; Rao Chaganty, Old Dominion University
2:20 PM	Revisiting the Linear Models with Exchangeably Distributed Errors Anuradha Roy, The University of Texas at San Antonio; Timothy Opheim, The University of Texas at San Antonio
2:35 PM	Tolerance Limits Under Poisson Regression Models Presentation Zachary Zimmer
2:50 PM	Time Series for Boolean Random Sets Kofi Wagya, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
3:05 PM	Probability of Flaw Detection for Quasi-Separated Data Presentation Christine Henry, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology
3:20 PM	A Generalized Z Score for Both Symmetric and Asymmetric Distribution Presentation Mian Adnan, Indiana University
3:35 PM	Floor Discussion

586	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-106
Frontiers of Multivariate Spatial Methodology — Invited Papers
Section on Statistics and the Environment
Organizer(s): Matthew Heaton, Brigham Young University
Chair(s): Matthew Heaton, Brigham Young University
8:35 AM	Bayesian Models for Count-Valued Spatio-Temporal Data That Are Correlated with Continuous-Valued Spatio-Temporal Data Jonathan R. Bradley, Florida State University
9:00 AM	Multivariate Analysis of High-Dimensional Non-Negative Responses Over Large Spatial Domains Using NNGPs Daniel Taylor-Rodriguez, Portland State University; Andrew Finley, Michigan State University
9:25 AM	Modeling Non-Stationary Multivariate Spatial Data Using Deep Compositional Spatial Models Andrew Zammit-Mangion, University of Wollongong
9:50 AM	Pushing the Limits of Multivariate Spatial Models: How Many Is Too Many? William Kleiber, University of Colorado; Mitchell Krock, University of Colorado at Boulder; Dorit Hammerling, National Center for Atmospheric Research
10:15 AM	Floor Discussion

620	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-108
Spatial and Spatiotemporal Modeling in Climate and Meteorology — Contributed Papers
Section on Statistics and the Environment
Chair(s): Haozhe Zhang, Iowa State University
8:35 AM	Spatio-Temporal Reconstruction of Climate from Large Pollen Data Sets Presentation John Tipton, University Of Arkansas; Basil Davis, University of Lausanne; Manuel Chevalier, University of Lausanne; Philipp Sommer, University of Lausanne
8:50 AM	Statistical Modeling of People's Perception of Threat and Decision-Making Under Probabilistic Tornado Hazard Information Presentation Sujay Datta, University of Akron
9:05 AM	Estimating Atmospheric Motion Winds from Satellite Image Data Using Space-Time Drift Models Indranil Sahoo, Wake Forest University; Joseph Guinness, Cornell University; Brian Reich, North Carolina State University
9:20 AM	Multi-Scale Dynamic Modeling of Precipitation in the Indus Watershed Presentation Michael Christensen, Brigham Young University
9:35 AM	Bayesian Spatio-Temporal Modeling of Arctic Sea Ice Extent Bohai Zhang, Nankai University
9:50 AM	Stochastically Downscaling High-Frequency Solar Irradiance Data Wenqi Zhang, University of Colorado, Boulder; William Kleiber, University of Colorado; Bri-Mathias Hodge, University of Colorado, Boulder
10:05 AM	Probabilistic Contour Models of the Sea Ice Edge Hannah Director, University of Washington; Adrian Raftery, University of Washington; Cecilia Bitz, University of Washington

661 !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-701
Statistical Models for Animal Behavior and Population Dynamics — Contributed Papers
Section on Statistics and the Environment
Chair(s): Joshua French, University of Colorado Denver
10:35 AM	Combining Animal Movement and Spatial Disease Data for Prediction of Wildlife Disease Spread Sahar Zarmehri, Penn State; Ephraim Hanks, Pennsylvania State University; Lynn Lin, Penn State University
10:50 AM	Alternative Learning Strategies for Realistic Collective Animal Movement Presentation Toryn Schafer, University of Missouri; Christopher K. Wikle, University of Missouri; Mitch D. Weegman, University of Missouri
11:05 AM	Understanding Lake Winnipeg Basin Walleye Fish Movement Patterns Using Bayesian State-Space Models Inesh Munaweera , University of Manitoba; Saman Muthukumarana, University of Manitoba; Darren Gillis, University of Manitoba; Douglas Watkinson, Fisheries and Oceans Canada; Colin Charles, Fisheries & Oceans Canada
11:20 AM	An Irregular Sampling Design for Animal Movement Presentation Elizabeth Eisenhauer, The Pennsylvania State University; Ephraim Hanks, Pennsylvania State University
11:35 AM	Bayesian Modeling of Fish Movement Using Stronium Isotopes Presentation Edward L Boone, Virginia Commonwealth University; Ben Stewart-Koster, Griffith University; Michael Venarsky, Griffith University
11:50 AM	Nonlinear Reaction-Diffusion Process Models Improve Inference for Population Dynamics Presentation Xinyi Lu, Colorado State University
12:05 PM	Machine Learning Methods for Modeling Animal Movement Dhanushi Wijeyakulasuriya, Pennsylvania State University; Ephraim Hanks, Pennsylvania State University; Benjamin Shaby, Pennsylvania State University

JSM 2019 Online Program

Activity Details

American Statistical Association