Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Spatial statistics returned 27 record(s)
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Sunday, 07/29/2018
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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 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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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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Monday, 07/30/2018
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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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A Bayesian Approach to Trend Filtering for Spatially Confounded Data
Adam Walder
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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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A Bayesian Approach to Trend Filtering for Spatially Confounded Data
Adam Walder
10:40 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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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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Statistical Inference for High-Dimensional Time Series
Ruey S Tsay, University of Chicago, Booth School of Business
2:30 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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Tuesday, 07/31/2018
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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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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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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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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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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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Wednesday, 08/01/2018
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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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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 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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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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