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Keyword Search Criteria: spatial returned 148 record(s)
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Sunday, 07/29/2018
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Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting
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Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
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Spatially Informed Variable Selection Priors and Application to Neuroimaging Data
Marina Vannucci, Rice University
2:05 PM
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Cluster-Temporal Models for Disease Surveillance with an Application to Dengue Fever Infection in Taiwan
Pei-Sheng Lin
2:05 PM
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High-Dimensional MCMC Diagnostics with Application to Spatial Text Clustering of Beer Flavours
David Alexander Campbell, Simon Fraser University; Subhash Lele, University of Alberta; Peter Solymos, Alberta Biodiversity Monitoring
2:25 PM
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Space and Space-Time Cluster Detection Using the LASSO in Disease Mapping
Ronald Gangnon, University of Wisconsin; Maria Kamenetsky, University of Wisconsin-Madison; Junho Lee, King Abdullah University of Science and Technology; Jun Zhu, University of Wisconsin - Madison
2:25 PM
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Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan
2:40 PM
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Interacting Cluster Point Process Model for Epidermal Nerve Fibers
Guilherme Ludwig, University of Campinas; Nancy Lopes Garcia, University of Campinas; Peter Guttorp, University of Washington / Norwegian Computing Center
2:45 PM
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Spatially Varying Coefficient Models for Point Pattern Analysis with Large Data Sets
Huiyan Sang, Texas A&M University
3:05 PM
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
3:10 PM
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Semiparametric Regression Methods for Spatial and Spatio-Temporal Data with Application to Fine Particulate Matter (PM2.5) Studies
Lily Wang, Iowa State University; Jingru Mu, Iowa State University; Guannan Wang, College of William & Mary
3:25 PM
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Adaptively-Tuned Particle Swarm Optimization with Application to Spatial Design
Matthew Simpson, University of Missouri; Christopher K. Wikle, University of Missouri; Scott H. Holan, University of Missouri/U.S. Census Bureau
4:05 PM
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A Computationally Tractable Estimation Procedure for Self-Exciting Spatio-Temporal Point Process Models
James Molyneux, UCLA Statistics; Frederic Paik Schoenberg, UCLA
4:05 PM
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Spatial Bayesian Fusing Models for Sparse Networks and Health Risk
Andrew B Lawson, Medical University of South Carolina ; Raymond Boaz, Medical University of South Carolina
4:25 PM
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Inferring Spatial Point Intensity of Geomagnetic Anomalies from Transect Sampling
Kenneth Flagg, Montana State University; Andrew Hoegh, Montana State University; Megan Higgs, Montana State University; John Borkowski, Montana State University
4:35 PM
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A Procedure to Detect General Association Based on Concentration of Ranks
Fred Wright, North Carolina State University; Pratyaydipta Rudra, University of Colorado at Denver; Yi-Hui Zhou, North Carolina State University
4:45 PM
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Spatial Statistics Approach to Develop Novel Protein Cancer Biomarkers
Inna Chervoneva, Thomas Jefferson University
4:50 PM
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A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
Yu Yue, Baruch College, CUNY; Amanda Mejia, Indiana University; David Bolin, Gothenburg University; Finn Lindgren, The University of Edinburgh; Martin A Lindquist, Johns Hopkins University
5:05 PM
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Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:05 PM
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Monday, 07/30/2018
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Sequential Modeling of Spatial Temporal Image Data
Shufei Ge, Simon Fraser University; Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Farouk Nathoo, University of Victoria
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Hierarchical-Block Conditioning Approximations for High-Dimensional Multivariate Normal Probabilities
Jian Cao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology; David E Keyes, King Abdullah University of Science and Technology; George Turkiyyah, King Abdullah University of Science and Technology
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A Pair Correlation Function for Non-Stationary Spatial Point Processes Which Depends on Covariates
Zhiji Tang, Florida State University
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Statistical Challenges in the Analysis of Distributed Remote Sensing Data
Amy Braverman, Jet Propulsion Laboratory
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Improving Spatial Occupancy Model Parameter Estimation Using Citizen Science Data
David Huberman, North Carolina State University; Brian Reich, North Carolina State University; Krishna Pacifici, North Carolina State University
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Spatial and Temporal Trends in Weather Forecasting and Improving Predictions with ARIMA Modeling
Manasi Sheth, California State University; Mahalaxmi Gundreddy, California State University East Bay; Vivek Shah, Applied Materials, Inc. ; Pritam Barlota, California State University East Bay; Eric Suess, CSU East Bay
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
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Verification, Diagnosis, and Adjustment of Current Temperature Forecasting System in the United States
Han-Yueh Lee, National Tsing Hua University; Hsiao-Ting Lin, National Tsing Hua University
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Combining Satellite Imagery and Numerical Model Simulation to Estimate Ambient Air Pollution: An Ensemble Averaging Approach
Nancy Murray, Emory University; Howard Chang, Emory University; Heather Holmes, University of Nevada, Reno; Yang Liu, Emory University
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Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
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A Bayesian Approach to Trend Filtering for Spatially Confounded Data
Adam Walder
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Horizontal and Vertical Effects in a Logistic Regression Model
Diana Gonzalez, Arizona State University
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Evaluating the Impact of Using Residential Histories When Estimating Environmental Exposure Effects
Anny-Claude Joseph, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
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Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
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Addressing Time of Measurement Bias in Records of Daily Temperature Extrema: A Spatio-Temporal Imputation Strategy
Maxime Rischard, Harvard Statistics; Natesh Pillai, Harvard Statistics; Karen A. McKinnon, National Center for Atmospheric Research; Descartes Labs
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Verification, Diagnosis, and Adjustment of Current Temperature Forecasting System in the United States
Han-Yueh Lee, National Tsing Hua University; Hsiao-Ting Lin, National Tsing Hua University
8:55 AM
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Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
9:00 AM
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
9:10 AM
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Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
9:15 AM
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Was It Raining the Day You Were Born?
William Kleiber, University of Colorado; Gregory Benton, University of Colorado
9:25 AM
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The Myths About Weather Forecasting
Yifan Wu, Simon Fraser University; Ying (Daisy) Yu, Simon Fraser University; Chuyuan (Cherlane) Lin, Simon Fraser University
9:40 AM
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Fully Bayesian Spectral Methods for Imaging Data
Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Simon Vandekar, University of Pennsylvania; Russell T Shinohara, University of Pennsylvania; Ana-Maria Staicu, NC State University
10:35 AM
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Fingerprinting Changes in Climate Extremes with Joint Modeling of Observations and Climate Model Simulation
Jun Yan, University of Connecticut; Yujing Jiang, Colorado State University; Zhuo Wang, Shenzhen University, China; Xuebin Zhang, Environment and Climate Change Canada
10:35 AM
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A Bayesian Approach to Trend Filtering for Spatially Confounded Data
Adam Walder
10:40 AM
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Horizontal and Vertical Effects in a Logistic Regression Model
Diana Gonzalez, Arizona State University
10:50 AM
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Addressing Time of Measurement Bias in Records of Daily Temperature Extrema: A Spatio-Temporal Imputation Strategy
Maxime Rischard, Harvard Statistics; Natesh Pillai, Harvard Statistics; Karen A. McKinnon, National Center for Atmospheric Research; Descartes Labs
10:50 AM
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BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Johns Hopkins Bloomberg School of Public Health; Abhi Datta, Johns Hopkins Bloomberg School of Public Health
11:05 AM
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Spatial Clustering Using Spatio-Temporal Network Data
Ashwini Venkatasubramaniam, University of Glasgow; Ludger Evers, University of Glasgow; Konstantinos Ampountolas, University of Glasgow
11:05 AM
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WPSVM for Spatial Point Processes Directed by Gaussian Random Fields
Subha Datta, New Jersey Institute of Technology
11:05 AM
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Combining Satellite Imagery and Numerical Model Simulation to Estimate Ambient Air Pollution: An Ensemble Averaging Approach
Nancy Murray, Emory University; Howard Chang, Emory University; Heather Holmes, University of Nevada, Reno; Yang Liu, Emory University
11:10 AM
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A Latent Variable Approach for Handling Qualitative Factors in Gaussian Process Modeling of Computer Experiments
Daniel W Apley, Northwestern University; Yichi Zhang, Northwestern University
11:15 AM
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Generalized Additive Models for Spatial Data Distributed on Complicated Domains
Shan Yu, Iowa State University; Lily Wang, Iowa State University
11:20 AM
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Evaluating the Impact of Using Residential Histories When Estimating Environmental Exposure Effects
Anny-Claude Joseph, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
11:55 AM
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Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
Yujia Deng, UIUC; Xiwei Tang, University of Virginia; Annie Qu, University of Illinois at Urbana-Champaign
12:05 PM
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Spatially Varying Coefficient Autoregressive Models
Jingru Mu, Iowa State University; Guannan Wang, College of William & Mary; Lily Wang, Iowa State University
12:05 PM
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Bias Correction of Arctic Sea Ice Contours
Hannah Director, University of Washington; Adrian Raftery, University of Washington; Cecilia Bitz, University of Washington
2:05 PM
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Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees
Rosangela Loschi, Universidade Federal de Minas Gerais; Leonardo Teixeira, Purdue University; Renato Assunção , Universidade Federal de Minas Gerais
2:05 PM
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A Location-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian S Di Pace, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
2:10 PM
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Spatial Modeling of Rainfall Accumulated Over Short Periods of Time
Victor De Oliveira, The University of Texas at San Antonio; Binbin Wang, The University of Texas at San Antonio; Eric V. Slud, University of Maryland--College Park
2:20 PM
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Statistical Inference for High-Dimensional Time Series
Ruey S Tsay, University of Chicago, Booth School of Business
2:30 PM
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Interval-Valued Kriging and Application in Climate Related Predictions
Brennan Bean, Utah State University; Yan Sun, Utah State University
2:50 PM
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Controlled Automatic Detection of Detects in Dependent Image Data
Ansgar Steland, Institut Fuer Statistik Und Wirtschaftsmathematik RWTH Aachen
3:05 PM
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Recent Advances in Dependent Random Partition Models
Garritt L Page, Brigham Young University; Fernando Quintana, Pontificia Universidad Catolica De Chile
3:25 PM
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The Spatial Wishart Process and Its Applications to Diffusion Tensor Images
Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
3:35 PM
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Tuesday, 07/31/2018
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Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Using Nearest-Neighbor Gaussian Process
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Gregory Metzger, University of Minnesota; Ethan Leng, University of Minnesota
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Small Scale Analysis with Big Data - Enriching the Panel Study
Jonas Beste, Institute for Employment Research; Sebastian Bähr, Employment Research (IAB)
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Consistency of Spectral Clustering in fMRI data
Jessie Moon, FDA
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A Location-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian S Di Pace, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
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A Joint Model of Opioid Treatment Admissions and Deaths for Adults and Adolescents in Ohio Counties
David Kline, Ohio State University; Staci Hepler, Wake Forest University
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Adjusting a Finite Population Block Kriging Estimator for Imperfect Detection
Matthew Higham
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Small Area Estimation of HIV Measures in Sub-Saharan Africa
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Jon Wakefield, Univ of Washington; Ann Duerr, Fred Hutch; Deborah Donnell, Fred Hutch
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Spatial-Temporal Latent Variable Models: a Potential Waste of Space and Time?
Francis Hui, Mathematical Sciences Institute
8:35 AM
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Multi-Resolution Approximations of Gaussian Processes for Multivariate Spatial Data
Wenlong Gong, Texas A&M University
8:35 AM
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Finding Hotspots
Sucharita Ghosh, Swiss Federal Research Institute WSL
8:55 AM
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Multi-Resolution Filters for Massive Spatio-Temporal Data
Marcin Jurek, Texas A&M University; Matthias Katzfuss, Texas A&M University
8:55 AM
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On the Covariance Estimation and Principal Component Analysis for Spatially Dependent Functional Data
Haozhe Zhang, Iowa State University; Yehua Li, University of California, Riverside
9:05 AM
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Spatial-Temporal Small Area Estimation Models for Cancer Incidence
Benmei Liu, National Cancer Institute; Li Zhu, National Cancer Institute; Huann-Sheng Chen, National Cancer Institute; Joe Zou, Information Management Services; Rebecca Siegel, American Cancer Society; Kim D. Miller, American Cancer Society; Ahmedin Jemal, American Cancer Society; Eric J. Feuer, National Cancer Institute
9:15 AM
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A Joint Model of Opioid Treatment Admissions and Deaths for Adults and Adolescents in Ohio Counties
David Kline, Ohio State University; Staci Hepler, Wake Forest University
9:15 AM
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Coupling Forest In-Situ and Spaced-Based Lidar Samples to Improve National-Scale Forest Inventory: a Joint Spatial Modeling Framework for Forest and Lidar Variable Prediction Lever
Chad Babcock, University of Washington; Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center
9:15 AM
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Functional Analysis of Spatial Aggregation Regions of Jeffrey Pine Beetle-Attack Within the Lake Tahoe Basin
Ekaterina Smirnova, University of Montana; Omid Khormali, University of Montana; Joel M Egan, Forest Health Protection
9:20 AM
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Conditional Normal Copulas and Their Use in Applications
Pavel Krupskiy, University of British Columbia; Harry Joe, University of British Columbia; Marc G Genton, King Abdullah University of Science and Technology
9:25 AM
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Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil
Maria Antonia Terres, The Climate Corporation; Montserrat Fuentes, Virginia Commonwealth University; Dean Hesterberg, North Carolina State University; Matthew Polizzotto, North Carolina State University
10:35 AM
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Adjusting a Finite Population Block Kriging Estimator for Imperfect Detection
Matthew Higham
10:50 AM
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Traversing the Space-Time Cube
Noel Cressie, University of Wollongong
11:00 AM
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Estimating Small Area Life Expectancy Using Hellinger Distance Spatial Correlation
Robert E. Johnson, Vanderbilt University; Sarah Lotspeich, Vanderbilt University
11:05 AM
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Spatial Statistics Vs Machine Learning: Evaluating Air Pollution Exposure Prediction Models
Gregory Watson, UCLA; Donatello Telesca, UCLA
11:20 AM
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Horse for Courses: Empirical Vs Mechanistic Modeling for Spatio-Temporal Point Process Data
Peter John Diggle, Lancaster University
11:25 AM
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Time-Stratified LOESS Smoothers for Estimating and Testing Temporal Heterogeneity in Spatial Risk Patterns
Yannan Tang, UCI
11:35 AM
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Small Area Estimation of HIV Measures in Sub-Saharan Africa
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Jon Wakefield, Univ of Washington; Ann Duerr, Fred Hutch; Deborah Donnell, Fred Hutch
12:05 PM
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Hierarchical Spatial Model for Creating Global Maps of Plant Trait Distribution
Abhi Datta, Johns Hopkins Bloomberg School of Public Health
2:05 PM
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From Markov Models to Poisson Point Processes: Modeling Player Movement in the NBA
Jacob Mortensen, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
2:05 PM
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Improved Return Level Estimation via a Weighted Likelihood Latent Spatial Extremes Model
Joshua Hewitt, Colorado State University; Miranda Fix, Colorado State University; Jennifer A Hoeting, Colorado State University
2:05 PM
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A Max-Infinitely Divisible Process for Sub-Asymptotic Modeling of Spatial Extremes
Gregory Bopp, Pennsylvania State University; Benjamin Shaby, Penn State University; Raphaël Huser, KAUST
2:20 PM
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Bayesian Spatial Clustering with Particle Optimization
Sameer Deshpande, University of Pennsylvania, Wharton Statistics; Cecilia Balocchi, University of Pennsylvania, Wharton Statistics; Shane Jensen, The Wharton School, University of Pennsylvania; Edward George, Wharton, University of Pennsylvania
2:20 PM
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Changes in Spatiotemporal Precipitation Patterns in Changing Climate Conditions
Won Chang, University of Cincinnati; Michael Stein, University of Chicago, Dept. of Statistics; Jiali Wang, Argonne National Laboratory; V. Rao Kotamarthi, Argonne National Laboratory; Elisabeth J. Moyer, University of Chicago
2:45 PM
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Bayesian Spatial Process Models for High-Dimensional Finite Population Sampling
Sudipto Banerjee, UCLA School of Public Health; Alec Goldstein-Chan, University of California Los Angeles
2:55 PM
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Fusing Multiple Existing Space-Time Land Cover Products
Amanda Hering, Baylor University; Nicolás Rodríguez-Jeangros, Colorado School of Mines; John McCray, Colorado School of Mines; Timothy Kaiser, Colorado School of Mines
3:05 PM
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Spatial Semiparametric Spectral Density Estimation for Multivariate Extremes
Mauricio Nascimento, Pennsylvania State University; Benjamin Shaby, Penn State University
3:05 PM
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Large and Non-Stationary Spatial Fields: Quantifying Uncertainty in the Pattern Scaling of Climate Models
Douglas William Nychka, NCAR
3:20 PM
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Scale Mixture for Extremal Dependence Model
Likun Zhang, Penn State University; Benjamin Shaby, Penn State University
3:20 PM
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Hierarchical Gaussian Processes for Spatially Dependent Model Selection
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
3:35 PM
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Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping
Daniel Taylor Rodriguez, Portland State University; Andrew Oliver Finley, Michigan State University; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Chad Babcock, University of Washington; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center; Sudipto Banerjee, UCLA School of Public Health
3:35 PM
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Wednesday, 08/01/2018
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Distance-Weighted Predictor Models to Estimate the Spatial Scale of Built Environment Health Effects
Adam Peterson, University of Michigan; Brisa N. Sanchez, University of Michigan; Emma V Sanchez-Vaznaugh, San Francisco State University
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Spatial Proximity Between Bank Branch Closures and Openings: Where Are the New Underserved Banking Areas Located?
Anna Tranfaglia
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Impact of Distance Calculation Methods on Geospatial Analysis of Healthcare Access
Sarah Lotspeich, Vanderbilt University; Robert E. Johnson, Vanderbilt University
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Bayesian Spatial Quantile Regression for Areal Count Data, with Application on Substitute Care Placements in Texas
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
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A Spatially Correlated Auto-Regressive Model for Count Data with Applications for Modeling Crime
Nicholas Clark, Iowa State University; Philip M Dixon, Iowa State University
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Approximate Bayesian Inference for Big Spatial Data Using Non-Stationary Spectral Simulation
Hou-Cheng Yang
8:35 AM
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Spatial Proximity Between Bank Branch Closures and Openings: Where Are the New Underserved Banking Areas Located?
Anna Tranfaglia
8:50 AM
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A General Framework for Vecchia Approximations of Gaussian Processes
Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:05 AM
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A Spatially Correlated Auto-Regressive Model for Count Data with Applications for Modeling Crime
Nicholas Clark, Iowa State University; Philip M Dixon, Iowa State University
9:05 AM
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Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment
Ghulam Qadir, King Abdullah University of Science and Technology (KAUST); Ying Sun, KAUST; Sebastian Kurtek, The Ohio State University
9:05 AM
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Bayesian Spatial Quantile Regression for Areal Count Data, with Application on Substitute Care Placements in Texas
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
9:10 AM
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Partially Specified Spatial Autoregressive Model with Artificial Neural Network
Wenqian Wang, Northwestern University; Beth Andrews, Northwestern University
9:35 AM
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Bayesian Inference for Geometrically Anisotropic Spatial Random Fields on Regular Lattice
Fan Dai; Somak Dutta, Iowa State University
9:35 AM
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Bayesian Regression Models for Big Spatially or Longitudinally Correlated Functional Data
Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Lin Zhang, University of Minnesota; Hongxiao Zhu, Virginia Tech University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Hojin Yang, The University of Texas M.D. Anderson Cancer Center; Wonyul Lee, Food and Drug Administration; Michelle Miranda, The University of Texas M.D. Anderson Cancer Center; Philip Rausch, Humboldt University
9:50 AM
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Impact of Distance Calculation Methods on Geospatial Analysis of Healthcare Access
Sarah Lotspeich, Vanderbilt University; Robert E. Johnson, Vanderbilt University
9:50 AM
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Statistical Analysis of Housing Prices in Georgia
Mitra Devkota
9:50 AM
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Efficient MCMC for Spatial Population Modeling
Daniel B. Turek, Williams College
10:05 AM
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Examining Non-Stationarity in Spatial Processes via an M-RA and Mixture Priors
Veronica J. Berrocal, University of Michigan
10:05 AM
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A Bayesian Spatial-Temporal Model with Latent Multivariate Log-Gamma Random Processes with Application to Earthquake Magnitudes
Guanyu Hu, University of Connecticut; Jonathan R Bradley, Florida State University
10:35 AM
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Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments
Pulong Ma, University of Cincinnati; Emily L. Kang, University of Cincinnati; Amy Braverman, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory
10:55 AM
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New Statistical Methods for Analyzing Whole Brain Metabolites Using High-Resolution MRS Data
Shuo Chen, University of Maryland, School of Medicine
10:55 AM
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Big Data, Google, and Infectious Disease Prediction: a Statistical Perspective
Shihao Yang; S. C. Kou, Harvard University; Mauricio Santillana, Harvard University
11:05 AM
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A Test for Isotropy on a Sphere Using Spherical Harmonic Functions
Indranil Sahoo, North Carolina State University; Joseph Guinness, NC State University; Brian Reich, North Carolina State University
11:15 AM
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Efficient Estimation for Non-Stationary Spatial Covariance Functions with Application to High-Resolution Climate Model Emulation
Yuxiao Li, KAUST; Ying Sun, KAUST
11:35 AM
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Identification of Management Zone Using a Spatial Clustering Time-Varying Lattice Models
Youngdeok Hwang, Sungkyunkwan University; Huijing Jiang, IBM Research; Rodrigue Ngueyep, IBM Research
11:55 AM
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Inference on the Future State of the Climate Through Combining Multiple Interdependent Climate Model Outputs with Observations Using Bayesian Hierarchical Models
Huang Huang, SAMSI; Dorit Hammerling, National Center for Atmospheric Research; Bo Li, University of Illinois at Urbana-Champaign; Richard Smith, Statistical Applied Mathematical Sciences Institute
2:20 PM
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Integrating Auxiliary Data in Optimal Spatial Design for Species Distribution Mapping
Jonathan Stallings, North Carolina State University; Brian Reich, North Carolina State University; Krishna Pacifici, North Carolina State University
2:30 PM
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Leading Policy with Localized Item Response Theory: Detection of Differential Item Functioning Across Space
Samantha Robinson, University of Arkansas
3:05 PM
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Model-Based Sampling Design for Multivariate Spatial Prediction on a Stream Network
Dale Zimmerman, American Statistical Association
3:20 PM
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Thursday, 08/02/2018
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Spatial Statistics for Improving Collective Estimates of Extreme Precipitation at Weather Stations
Mark Risser, Lawrence Berkeley National Laboratory; Christopher Paciorek, University of California, Berkeley; Michael F Wehner, Lawrence Berkeley National Laboratory
8:35 AM
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Local Likelihood Estimation of Complex Tail Dependence Structures in High Dimensions, Applied to U.S. Precipitation Extremes
Raphaël Huser, KAUST; Daniela Castro, King Abdullah University of Science and Technology
8:35 AM
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A Spatial Group Sparse Multi-Task Regression Model for Imaging Genetics
Farouk Nathoo; Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
8:55 AM
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Real Time PM2.5 Mapping and Anomaly Detection from AirBoxes in Taiwan
Guowen Huang, National Tsing Hua University
9:00 AM
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Geospatial Data Anonymization Methods in Support of Transportation Planning
William Bachman, Westat
9:15 AM
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Clustered-Temporal Bayesian Model for Brain Connectivity in Neuroimaging Data
Nairita Ghosal, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
9:20 AM
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Virtual Listing: GIS Approaches to Improve Survey Listing Efficiency
Michael Giangrande, Westat; J. Michael Brick, Westat; David Morganstein, Westat; Katie Lewis, U.S. Energy Information Administration
9:20 AM
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Probabilistic Predictive Principal Component Analysis for Spatially-Misaligned and High-Dimensional Air Pollution Data with Missing Observations
Phuong T Vu, University of Washington; Adam A Szpiro, University of Washington
9:35 AM
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Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study
Dipankar Bandyopadhyay, Virginia Commonwealth University; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
9:55 AM
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Spatial Cluster Detection of Regression Coefficients in a Mixed Effect Model
Junho Lee, King Abdullah University of Science and Technology; Ying Sun, KAUST; Howard Chang, Emory University
10:35 AM
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Are Zero-Modified Models the Panacea for Epidemiological Data with Excess Zeroes?
Ali Arab, Georgetown University; Frederic Mortier, CIRAD, UPR Forests and Societies/Forests and Societies, Univ Montpellier, CIRAD
10:50 AM
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A Bayesian Hierarchical Model for Continental-Scale Prediction of Water Quality in US Lakes
Meridith Bartley, Penn State University; Ephraim Hanks, The Pennsylvania State University
11:05 AM
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Characterizing Precipitation Extremes in the US Gulf Coast Through the Use of a Multivariate Spatial Hierarchical Model
Brook Russell, Clemson University; Mark Risser, Lawrence Berkeley National Laboratory; Kenneth Kunkel, North Carolina State University; Richard Smith, Statistical Applied Mathematical Sciences Institute
11:15 AM
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Penalized Local Polynomial Regression for Spatial Data
Wu Wang, King Abdullah University of Science and Technology; Ying Sun, KAUST
11:20 AM
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Distance Correlation as a Measure for Dependence of Distance Matrices with Complex Spatial Patterns: An Alternative to Mantel Test
Deniz Yenigun, Istanbul Bilgi University; Maria Rizzo, Bowling Green State University
11:35 AM
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Sub-Asymptotic Models for Spatial Extremes Using Random Effects
Benjamin Shaby, Penn State University
11:35 AM
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Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models
Yawen Guan, The Statistical and Applied Mathematical Sciences Institute; Murali Haran, Penn State University
11:50 AM
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