Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Spatial returned 136 record(s)
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Sunday, 07/31/2016
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Spectral Filtering for Spatial-Temporal Dynamics
Tian Zheng, Columbia University; Lu Meng, Columbia University
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The Utility of Conditional Autoregressive (CAR) Models for Modeling Efficacy of Molecularly Targeted Agents in Early-Phase Trials
Thomas Braun, University of Michigan
2:05 PM
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In My Time of Dying: John Graunt's Observations About the Bills of Mortality Revisited Using Modern Spatial Epidemiological Methods
Olaf Berke, University of Guelph
2:05 PM
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A Spatiotemporal Hierarchical Bayesian Model for Understanding Vectors and Vector-Borne Disease
Erica Billig, University of Pennsylvania; Jason Roy, University of Pennsylvania; Michael Levy, University of Pennsylvania; Michelle Ross , University of Pennsylvania
2:20 PM
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Addressing Spatial Interference in Causal Analysis
Keith William Zirkle, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University; Saba W. Masho, Virginia Commonwealth University
2:25 PM
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Correcting for Population Stratification in Spatially Structured Populations for Sequencing Data
Ye Ting Du, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard T.H. Chan School of Public Health
2:35 PM
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Modeling Spatial Relationships Between Features When Quantifying the Weight of Fingerprint Evidence
Cedric Neumann, San Diego State University; Vered Madar, Statistical and Applied Mathematical Sciences Institute; Michael L. Lavine, University of Massachusetts ; Jonah K. Amponsah, South Dakota State University; Christopher Saunders, MITRE/South Dakota State University
2:45 PM
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Infill Asymptotics for Multivariate Spatial Processes
Hao Zhang, Purdue University
3:20 PM
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A Generalized Measure of Uncertainty in Geostatistical Regression Model Selection
Chun-Shu Chen, National Changhua University of Education; Jun Zhu, University of Wisconsin - Madison; Tingjin Chu, Renmin University of China
3:20 PM
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Spatially Partitioning Curves Based on Functional Covariates, with Two Applications
Zhen Zhang, The University of Chicago
4:05 PM
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Copula Random Field with Application to Longitudinal Neuroimaging Data Analysis
Peter X. K. Song, University of Michigan; Jian Kang, University of Michigan
4:30 PM
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Approximate Marginal Posterior for Log Gaussian Cox Processes
Shinichiro Shirota, Duke University; Alan E. Gelfand
4:35 PM
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Quantifying Waves of Extreme Weather
Joshua French, University of Colorado Denver; Piotr Kokoszka, Colorado State University; Stilian Stoev, University of Michigan
4:50 PM
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Computational Instability of Inverse of Spatial Covariance Matrices
Chae Young Lim, Seoul National University; Wei-Ying Wu, National Dong Hwa University; Chien-Hung Chen, National Dong Hwa University
5:05 PM
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Censored Local Likelihood Inference for Modeling Nonstationarity in Spatial Extremes
Daniela Castro, King Abdullah University of Science and Technology; Raphaël Huser, KAUST
5:20 PM
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Modeling Spatial Compositional Data: Reconstructions of Past Land Cover and Uncertainties
Behnaz Pirzamanbein, Lund University; Johan Lindström, Lund University; Anneli Poska, Lund University; Marie-José Gaillard-Lemdahl, Linnaeus University
5:25 PM
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Accelerating Computation for Bayesian Spatial Modeling
Mary Kathryn Cowles, University of Iowa
5:25 PM
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Blessing of Massive Scale: Spatial Graphical Model Estimation with a Total Cardinality Constraint Approach
Ethan Fang, Princeton; Han Liu, Princeton; Mendi Wang, Princeton
5:35 PM
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Monday, 08/01/2016
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Combining Information from Multiple Marks in a Marked Point Pattern
Philip Dixon, Iowa State University
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Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin - Madison; Jun Zhu, University of Wisconsin - Madison; Chun-Shu Chen, National Changhua University of Education
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Representing Inhomogeneous Microstructure in 3D Simulations of Stainless Steel
Scott Vander Wiel, Los Alamos National Laboratory
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Mixtures of Regression Models for Large Spatial Data Sets
Amanda Hering, Colorado School of Mines; Karen Kazor, Colorado School of Mines; Laura Condon, Colorado School of Mines; Reed Maxwell, Colorado School of Mines
8:35 AM
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Sparse Spatial Dynamic Factor Model with Basis Expansion
Takamitsu Araki; Shotaro Akaho, National Institute of Advanced Industrial Science and Technology
8:50 AM
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Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin - Madison; Jun Zhu, University of Wisconsin - Madison; Chun-Shu Chen, National Changhua University of Education
8:50 AM
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Creating Data Visualization Tools at Facebook
Andreas Gros, Facebook
8:55 AM
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Analysis of Basketball Shot Data via Log Gaussian Cox Processes with Spatially Varying Coefficients
Qingpo Cai, Emory University; Jian Kang, University of Michigan; Lance Waller, Emory University
9:05 AM
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Environmental Stressors, Health Outcomes, and Bayesian Regression Trees
Gregory Watson, University of California at Los Angeles; Donatello Telesca, University of California at Los Angeles
9:05 AM
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Spatial Model for Risk Prediction and Subnational Prioritization to Aid Poliovirus Eradication in Pakistan
Laina Mercer, Institute for Disease Modeling; Steve Kroiss, Institute for Disease Modeling; Hil Lyons, Institute for Disease Modeling; Guillaume Chabot-Couture, Institute for Disease Modeling
9:05 AM
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Regression-Based Covariance Functions for Nonstationary Spatial Modeling
Mark Risser, Lawrence Berkeley National Laboratory
9:15 AM
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Combining Information from Multiple Marks in a Marked Point Pattern
Philip Dixon, Iowa State University
9:15 AM
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Spatial Variability in the Persistence of PCV-Targeted Pneumococcal Serotypes Among Adults
Joshua Warren, Yale University; S. Cassandra Pingali, Yale University; Daniel Weinberger, Yale University
9:20 AM
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H-Likelihood Method for Analyzing Clustered Survey Data
Donghwan Lee, Ewha Womans University; Youngjo Lee, Seoul National University
9:25 AM
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Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation
Ying Sun, King Abdullah University of Science and Technology; Huixia Wang, The George Washington University; Montse Fuentes, North Carolina State University
9:35 AM
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Generalized Linear Mixed Model to Predict a Spatially Correlated Poisson Variable in the Presence of an Auxiliary Variable, with an Application to the West Nile Virus
Lynette Smith, University of Nebraska Medical Center; David B. Marx, University of Nebraska - Lincoln
9:35 AM
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Representing Inhomogeneous Microstructure in 3D Simulations of Stainless Steel
Scott Vander Wiel, Los Alamos National Laboratory
9:50 AM
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Collective Nonparametric Spectral Density Estimation with Applications in Clustering
Mehdi Maadooliat, Marquette University; Ying Sun, King Abdullah University of Science and Technology
9:55 AM
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High-Dimensional Analysis of Spatial Count Data: A Penalized Estimating Equation Approach
Rejaul Karim, Michigan State University; Tapabrata Maiti, Michigan State University
10:05 AM
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Understanding the Scale of Spatial Confounding Adjustment
Joshua Keller, University of Washington; Adam A. Szpiro, University of Washington
10:35 AM
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Accounting for Unmeasured Spatial Autocorrelation in Epidemiological Studies Using Areal Unit Data
Duncan Lee, University of Glasgow
11:00 AM
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Manifold Data Analysis
Hyun Bin Kang; Matthew Reimherr, Penn State University
11:05 AM
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A Penalized Quasi-Likelihood Approach for Variable Selection in High-Dimensional Spatially Correlated Binary and Count Data
Abdhi Sarkar, Michigan State University; Chae Young Lim, Seoul National University; Tapabrata Maiti, Michigan State University
11:05 AM
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Approximate Optimal Weighted Composite Likelihood Approach for Large Spatial Data
Furong Li, Texas A&M University; Huiyan Sang, Texas A&M University
11:20 AM
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Estimation and Prediction in the Presence of Spatial Confounding
Garritt L. Page, Brigham Young University; Yajun Liu, Wells Fargo Bank; Zhuoqiong He, University of Missouri; Dongchu Sun, University of Missouri
11:25 AM
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Spatial Data Analysis: An Elective Course for Advanced Undergraduates
Laura Boehm Vock, Gustavus Adolphus College
11:35 AM
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Modeling, Estimation, and Interpretion of Covariate Effects in the Presence of Spatial Confounding
Ephraim M. Hanks, Penn State University; Mevin Hooten, Colorado State University; Jennifer Hoeting , Colorado State University; Erin Schliep, University of Missouri
11:50 AM
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Semiparametric Inference via Sparsity-Induced Kriging for Massive Spatial Data Sets
Pulong Ma, University of Cincinnati; Emily Lei Kang, University of Cincinnati
11:50 AM
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Global Nonstationary Spatial Covariance Through Deformations and Geographical Indicators
Jaehong Jeong, King Abdullah University of Science and Technology; Marc Genton, KAUST
12:05 PM
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Spatial Data Fusion for Large Non-Gaussian Remote Sensing Data Sets
Hongxiang Shi, University of Cincinnati; Emily Lei Kang, University of Cincinnati
2:20 PM
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Spatial Confounding Adjustment with Propensity Score Matching
Georgia Papadogeorgou, Harvard T.H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health
2:45 PM
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Assessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolution by Next-Generation Sequencing
Yuchao Jiang, University of Pennsylvania; Yu Qiu, University of Pennsylvania; Andy J. Minn, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
3:05 PM
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Post-Model Selection Estimation for Regression Models with Spatial Autoregressive Error
Liqian Cai, Michigan State University; Tapabrata Maiti, Michigan State University
3:20 PM
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Nonparametric Estimation and Classification for Functional Data with Spatial Correlation
Yuan Wang, Washington State University; Brian Hobbs, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center; Jianhua Hu, MD Anderson Cancer Center
3:20 PM
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Tuesday, 08/02/2016
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Physical Inactivity Displays a Mediator Role in the Association of Diabetes and Poverty in the Presence of Spatial Heterogeneity
Xiao Li, The University of Texas Health Science Center at Houston; Lung-Chang Chien, The University of Texas School of Public Health at San Antonio; Amanda Staudt, The University of Texas School of Public Health at San Antonio; Xuehan Ren, The University of Texas Health Science Center at Houston
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Statistical Emulator for NARCCAP Surface Precipitation and Temperature Using Spatially Varying Bayesian Model Averaging
Marcela Alfaro Cordoba, North Carolina State University; Montse Fuentes, North Carolina State University; Joseph Guinness, North Carolina State University; Dorit Hammerling, National Center for Atmospheric Research; Doug Nychka, National Center for Atmospheric Research
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Negative Dependence in Markov Random Field Models
Kenneth Wakeland, Iowa State University; Mark Kaiser, Iowa State University; Daniel Nordman, Iowa State University
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An Estimation of the Variogram of Temperature Anomalies on the Earth
Jacob Shields; Chunfeng Huang, Indiana University; Scott Robeson, Indiana University
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A Two-Step Approach to Analyze Longitudinal Structural Neuroimaging Data
Li Xing, Indiana University; Shanshan Li, Indiana University Fairbanks School of Public Health; Jaroslaw Harezlak, Indiana University Fairbanks School of Public Health
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A Bayesian Spatial Clustering Method
Yin Xi, The University of Southwestern Medical Center at Dallas
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A Spatial Statistical Model to Identify Factors Affecting the Lending Process
Karen Liseth Gonzalez Fernandez, Universidad Nacional de Colombia; Juan Carlos Salazar Uribe, Universidad Nacional de Colombia
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A Changepoint Model for Housing Values
Xiaofei Susan Wang, Yale University; John Emerson, Yale University
8:35 AM
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Functional Regression Models for Large Spatial Data with Endogeneity and Unstructured Dependence
Arnab Bhattacharjee, Heriot-Watt University; Tapabrata Maiti, Michigan State University
9:00 AM
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A Bayesian Framework for Modeling Human Mobility
Adrian Dobra, University of Washington
9:05 AM
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Integrated Framework for Analyzing Spatially Correlated Functional Data
Surajit Ray, University of Glasgow
9:15 AM
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A Dynamic Spatial Factor Model for Speciated Pollutants
Montse Fuentes, North Carolina State University; Maria Terres, Climate Corporation
9:35 AM
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Bayesian Cure Rate Survival Model with Spatially Structured Censoring
Georgiana Onicescu; Andrew B. Lawson, Medical University of South Carolina
10:35 AM
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Clustering Multiscale Spatial Functional Data with Application to Precipitation Regimes Identification
Haozhe Zhang, Iowa State University; Zhengyuan Zhu, Iowa State University; Shuiqing Yin, Beijing Normal University
10:35 AM
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Bayesian Spatial Model Selection Using Mixtures of G-Priors and Markov Random Field Priors for Identifying Gas Plumes in Hyperspectral Data
Nicole Mendoza, University of California at Santa Cruz; Abel Rodriguez, University of California at Santa Cruz
10:35 AM
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Assessing Reproducibility of Hi-C Data
Qunhua Li, Penn State University; Tao Yang, Penn State University
10:35 AM
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Cluster Detection of Spatial Regression Coefficients
Junho Lee, University of Wisconsin; Ronald Gangnon, University of Wisconsin; Jun Zhu, University of Wisconsin - Madison
10:50 AM
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Alternative Approach to Modeling Areal-Level Spatial Data Using Basis Functions
Ghadeer Mahdi, University of Arkansas; Avishek Chakraborty, University of Arkansas; Mark Arnold, University of Arkansas
10:50 AM
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Inferring Spatial Organizations of Chromosomes from Hi-C Data via Poly-Helix Model
Rongrong Zhang, Purdue University; Ming Hu, New York University; Yu Zhu, Purdue University
11:05 AM
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Quantifying and Mapping Spatial Variability in Forest Stands
Gavin Corral, USDA/NASS
11:05 AM
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Objective Bayesian Analysis for Gaussian Improper CAR Models
Matthew James Keefe, Virginia Tech; Marco A. R. Ferreira, Virginia Tech; Christopher T. Franck, Virginia Tech
11:20 AM
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Spatial Basis Function Approach to Accommodate Teleconnection Patterns in Climate Data
Whitney Huang, Purdue University; Hao Zhang, Purdue University
11:20 AM
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Functional CAR Models for Large Spatially Correlated Functional Data Sets
Lin Zhang, University of Minnesota; Veera Baladandayuthapani, MD Anderson Cancer Center; Hongxiao Zhu, Virginia Tech; Keith A. Baggerly, MD Anderson Cancer Center; Tadeusz Majewski, MD Anderson Cancer Center; Bogdan A. Czerniak, MD Anderson Cancer Center; Jeffrey S. Morris, MD Anderson Cancer Center
11:25 AM
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Spatial Mixture Multiscale Modeling for Aggregated Health Data
Mehreteab Aregay, Medical University of South Carolina; Andrew B. Lawson, Medical University of South Carolina
11:35 AM
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A Spatial Statistical Model to Identify Factors Affecting the Lending Process
Karen Liseth Gonzalez Fernandez, Universidad Nacional de Colombia; Juan Carlos Salazar Uribe, Universidad Nacional de Colombia
11:35 AM
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Bayesian Spatial Models for Predicting the Location of Head Impacts
Michael Lawson, The University of North Carolina at Chapel Hill; Daniel Hernandez-Stumpfhauser, The University of North Carolina at Chapel Hill; Amy Herring, The University of North Carolina at Chapel Hill; Gunter Siegmund, MEA Forensic; Jason Mihalik, The University of North Carolina at Chapel Hill; Steve Marshall, The University of North Carolina at Chapel Hill; Kevin Guskiewicz, The University of North Carolina at Chapel Hill
11:50 AM
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Bayesian Inversion of a Large Spatial Field Using Predictive Process
Anirban Mondal, Case Western Reserve University
12:05 PM
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Spatial Large-Margin Angle-Based Classifier for Multi-Category Neuroimaging Data
Leo Yu-Feng Liu, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill
2:05 PM
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Spatial Prediction of Naturally Occurring Indoor Gamma Radiation Dose Rates in Great Britain
Mark Peter Little, National Cancer Institute; Pavel Chernyavskiy, National Cancer Institute; Gerald M. Kendall, University of Oxford; Philip S. Rosenberg, National Cancer Institute; Richard Wakeford, University of Manchester
2:05 PM
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Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data
Eun Sug Park, Texas A&M Transportation Institute; Inyoung Kim, Virginia Tech; Shuman Tan, Texas A&M Transportation Institute; Clifford Spiegelman, Texas A&M University
2:20 PM
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Statistical Downscaling for Large Spatial Data and Its Applications
Emily Lei Kang, University of Cincinnati; Pulong Ma, University of Cincinnati; Amy Braverman, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory; Noel Cressie, University of Wollongong
2:25 PM
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Spatial-Temporal Pareto Modeling of Extreme Value Data
Gabriel Huerta, University of New Mexico; Luis Enrique Nieto Barajas, Instituto Tecnologico Autonomo de Mexico
2:45 PM
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Spatial Data Compression via Adaptive Dispersion Clustering
Yuliya Marchetti, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory
2:45 PM
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Applications of Remote Sensing in Precision Agriculture at the Climate Corporation
Gardar Johannesson, The Climate Corporation
3:05 PM
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A Comparison of Spatial Prediction Models for Traffic-Related Air Pollution Data
Zheng Zhu; Roman Jandarov, University of Cincinnati
3:20 PM
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Wednesday, 08/03/2016
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Hybrid-Network: A Bayesian Approach
Demba Fofana; Ebenezer Olusegun George, University of Memphis; Dale Bowman, University of Memphis
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Nonparametric Spatial Models for Clustered Ordered Periodontal Data
Dipankar Bandyopadhyay, Virginia Commonwealth University; Antonio Canale, University of Turin/Collegio Carlo Alberto
8:35 AM
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Bayesian Prospective Detection of Small-Area Health Anomalies Using Kullback-Leibler Divergence
Chawarat Rotejanaprasert, Medical University of South Carolina
8:50 AM
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Using Moving Averages and Basis Functions to Create Spatial Models for Stream Networks
Jay Ver Hoef, NOAA/NMFS National Marine Mammal Lab
8:55 AM
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Spatial Modeling of Highway Crash Risk
Matthew J. Heaton, Brigham Young University
9:00 AM
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Statistical Inference for Chromatin 3D Structure
Shili Lin, The Ohio State University
9:00 AM
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Rank Reduction and Basis Coefficient Interaction in Dynamic Spatio-Temporal Models
Christopher Wikle, University of Missouri
9:15 AM
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NBA Court Real Estate: The Value of Positioning and Spacing
Daniel Cervone
9:15 AM
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A New Class of Nonseparable Bayesian Hierarchical Spatial Modeling for Sparse Gaussian Processes
Bledar Konomi, University of Cincinnati
9:20 AM
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Deep Spatial Learning for Forensic Geolocation with Microbiome Data
Neal Grantham; Brian J. Reich, North Carolina State University; Eric Laber, North Carolina State University
9:20 AM
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Basis Function Approaches for Continuous-Time Lagrangian Movement Modeling
Mevin Hooten, Colorado State University
9:35 AM
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Hybrid-Network: A Bayesian Approach
Demba Fofana; Ebenezer Olusegun George, University of Memphis; Dale Bowman, University of Memphis
9:45 AM
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A Complete Downscaler
Yen-Ning Huang, North Carolina State University; Brian J. Reich, North Carolina State University; Montse Fuentes, North Carolina State University; Sankar Arumugam, North Carolina State University
9:50 AM
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Multi-Resolution Approaches for Big Spatial Data
Matthias Katzfuss, Texas A&M University
9:55 AM
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Approximate Bayesian Computation for Compartmental Epidemic Models: Methods and Software
Grant Donald Brown, University of Iowa; Aaron T. Porter, Colorado School of Mines; Jacob J. Oleson, University of Iowa
10:35 AM
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Spatiotemporal Modeling with Applications to Stroke Mortality and Data Privacy
Harrison Quick, CDC
10:35 AM
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Predicting Coverage Error on the Master Address File Using Spatial Modeling Methods at the Block Level
Krista Heim, U.S. Census Bureau; Andrew Raim, U.S. Census Bureau
10:55 AM
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Image Registration Techniques Alter Image Properties in fMRI
Kevin Liu, Marquette University; Daniel Rowe, Marquette University
11:05 AM
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Spatial Envelope
Hossein Rekabdarkolaee, Virginia Commonwealth University
11:05 AM
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Gaussian Process Emulator-Based Inference for Spatial Models of Infectious Disease Systems
Rob Deardon, University of Calgary; Gyanendra Pokharel, University of Calgary
11:15 AM
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Particle Swarm Optimization--Assisted Metropolis Hastings Algorithms
Matthew Simpson, University of Missouri; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
11:15 AM
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Estimating HIV Relative Risk in India Using CAR Models
Kaushik Ghosh, University of Nevada, Las Vegas; Chandrasekaran Kandhasamy, National Institute for Research in Tuberculosis
11:20 AM
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Semiparametric Spatial Model for Interval-Censored Data with Time-Varying Covariate Effect
YUE ZHANG, University of Cincinnati; Xia Wang, University of Cincinnati; Bin Zhang, Cincinnati Children's Hospital Medical Center
11:20 AM
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Non-Gaussian Bivariate Modeling for Geophysical Inversions
Andrew Zammit-Mangion, University of Wollongong; Noel Cressie, University of Wollongong
11:35 AM
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Factor Copula Models for Spatial Data
Pavel Krupskiy, King Abdullah University of Science and Technology; Marc Genton, KAUST; Raphaël Huser, KAUST
11:50 AM
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Spatial-Nonspatial Multidimensional Adaptive Radiotherapy Treatment
David Vock, University of Minnesota School of Public Health; Guadalupe M. Canahuate, University of Iowa; G.Elisabeta Marai, University of Illinois at Chicago; C. David Fuller, MD Anderson Cancer Center
11:55 AM
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A Flexible Spectral Approach to Nonparametric Estimation of Spatial Data
Sally Wood, University of Sydney; Aldo Saavedra, University of Sydney; Hugh Durrant-Whyte, University of Sydney; Ori Rosen, The University of Texas at El Paso
2:05 PM
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Computational Considerations for Applying Nearest Neighbor Gaussian Processes to Large Spatial Data Sets: A Case Study from Forest Biomass Prediction Across Alaska
Sudipto Banerjee, University of California at Los Angeles; Abhirup Datta, University of Minnesota; Bruce Cook, NASA; Andrew Finley, Michigan State University
2:05 PM
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Point Process Modeling with Spatiotemporal Covariates for Predicting Crime
Alex Reinhart, Carnegie Mellon University; Xizhen Cai, Carnegie Mellon University; Joel Greenhouse, Carnegie Mellon University
2:05 PM
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Urban Analytics: A Case Study in Philadelphia
Shane Jensen, The Wharton School; Rachel Thurston, Stantec Architecture; Colman Humphrey, The Wharton School
2:20 PM
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A Multi-Scale Spatial Model for Stroke Lesion Segmentation
Huiyan Sang, Texas A&M University; Ciprian Crainiceanu, The Johns Hopkins University; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; John Muschelli, The Johns Hopkins University
2:25 PM
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Some Scalable Spatial Modeling Framework for Large Spatial Data
RAJARSHI GUHANIYOGI, University of California at Santa Cruz; Sudipto Banerjee, University of California at Los Angeles
2:30 PM
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Spatio-Temporal Analysis of Accessibility in Public Transit Systems
John Handley, PARC, A Xerox Company; Lina Fu, PARC, A Xerox Company; Laura Tupper, Cornell University
3:05 PM
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Thursday, 08/04/2016
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Spatial Uncertainty in Environmental Statistics
Alan E. Gelfand
8:35 AM
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Identifying Risk Factors for Interstate Crashes Using Spatial Statistics
Kaitlin Gibson, Brigham Young University; Matthew J. Heaton, Brigham Young University
8:35 AM
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Modeling Environmental Impacts on Bronchiolitis in the Presence of Spatial Uncertainty
Candace Berrett, Brigham Young University; Matthew J. Heaton, Brigham Young University; Chantel Sloan, Brigham Young University
9:00 AM
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Gaussian Likelihood Inference on Non-Gaussian Random Fields
Yuan Yan, King Abdullah University of Science and Technology; Marc Genton, KAUST
9:05 AM
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A Flexible Spatial Quantile Interpolation with Application to Radar Rainfall Estimation
Joon Jin Song, Baylor University; Soohyun Kwon, Kyungpook National University; GyuWon Lee, Kyungpook National University
9:05 AM
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Geographical Predictors of GPS-Based Transportation Survey Response Rates
Timothy Michalowski, Abt SRBI; Dara Seidl, Abt SRBI
9:15 AM
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Multivariate Latent Structure in Bayesian Spatio-Temporal Health Models
Andrew B. Lawson, Medical University of South Carolina
9:25 AM
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Development of a Neuroimaging Biomarker for Lesion Recovery in Multiple Sclerosis
Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Michelle Ross , University of Pennsylvania; John Muschelli, The Johns Hopkins University; Benjamin Risk , Statistical and Applied Mathematical Sciences Institute; Daniel Reich , National Institute of Neurological Disorders and Stroke; Ani Eloyan , Brown University; Ciprian Crainiceanu, The Johns Hopkins University; Russell Shinohara, University of Pennsylvania
9:25 AM
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The New Normal: Exploring the Impact of American Community Survey Demographics on Small-Area Health Studies
Lance Waller, Emory University
9:50 AM
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Hierarchical Statistical Analysis of Binary Spatial Data Using Kernel Principal Component Analysis
Bohai Zhang, University of Wollongong; Noel Cressie, University of Wollongong
9:50 AM
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Efficient Methods for Fitting Bayesian Semiparametric Models to Partly Interval-Censored Data
Haiming Zhou, Northern Illinois University; Timothy Hanson, University of South Carolina
9:50 AM
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Simultaneous Model Selection and Inference in Small-Area and Other Complex Models
Snigdhansu Chatterjee, University of Minnesota - Twin Cities
10:35 AM
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Dynamically Induced Spatial Confounding
Trevor Hefley, Colorado State University; Mevin Hooten, Colorado State University; Ephraim M. Hanks, Penn State University; Dan Walsh, National Wildlife Health Center; Robin Russell, National Wildlife Health Center
11:05 AM
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Spectral Inverted-Wishart: A Flexible Cross-Covariance Function for Multivariate Spatio-Temporal Data
Leo Duan, Duke University; Rhonda Szczesniak, Cincinnati Children's Hospital; Xia Wang, University of Cincinnati
11:05 AM
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A Bivariate Bayesian Occupancy Model for Large Herbivores in Serengeti National Park
Staci Hepler, Wake Forest University; Robert Erhardt, Wake Forest University; T. Michael Anderson, Wake Forest University
11:20 AM
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Ice Sheet Model Calibration with Paleoclimate and Modern Data
Murali Haran, Penn State University; Won Chang, Penn State University; David Pollard, Penn State University Earth and Environmental Systems Institute; Patrick Applegate, Penn State University
11:25 AM
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