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Topic-Contributed Paper Session

Recent Advances in Interpretable Model-based Geostatistics for Analyzing Complex Spatial Data

Wed, Aug 6, 10:30 AM - 12:20 PM Room CC-103C Music City Center

Changwoo LeeOrganizerMichele PeruzziOrganizerToryn SchaferChair

Section on Bayesian Statistical Science co: Section on Statistics and the Environmentco: International Society for Bayesian Analysis (ISBA)

5 Presentations

Scalable Learning for Censored Gaussian Processes based on Conditional Independence Approximations

10:35 AM - 10:55 AM

Jian Cao (University of Houston)

integration variable reordering minimax exponential tilting nearest neighbor approximation truncated multivariate normal sparse inverse Cholesky approximation posterior sampling

Marginally interpretable spatial logistic regression with bridge processes

10:55 AM - 11:15 AM

Changwoo Lee (Duke University)

Co-authors: Changwoo Lee (Duke University), David Dunson

Bayesian Elliptical process Marginal model Model-based geostatistics Random effects Spatial binary data

Inside-out Cross-covariance for Spatial Multivariate Data

11:15 AM - 11:35 AM

Michele Peruzzi (University of Michigan)

Gaussian process co-kriging dimension reduction coregionalization Bayesian hierarchical models

Multi-Hazard Bayesian Hierarchical Model for Damage Prediction

11:35 AM - 11:55 AM

Mary Lai Salvaña (University of Connecticut)

Bayesian damages exposure multi-hazard risk vulnerability

Generalized Chi-squared Process for Spatial Dissimilarity

11:55 AM - 12:15 PM

Xiaotian Zheng (University of Wollongong)

Co-authors: Andrew Zammit-Mangion (University of Wollongong), Noel Cressie (University of Wollongong)

Bayesian hierarchical models Biological distance Latent factor models Pairwise dissimilarity Spatial generalized additive mixed models

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