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Activity Number: 409 - Bayesian Space-Time Modeling
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #307065 Presentation
Title: Gaussian Copula Processes in Spatial Generalized Linear Models
Author(s): Robert Richardson*
Companies: Brigham Young University
Keywords: Stochastic Process; Spatial Models; Non-Gaussian Models; Spatial Mortality

A spatial generalized linear model is presented where the spatial correlation comes from a Gaussian copula process instead of from spatially varying parameters in the link function. This method allows for straight-forward spatial GLMs in cases where a link function is not easily established, such as a personalized discrete distribution or distributions that are modified at 0. The results are compared theoretically and empirically to existing method and an application in spatial mortality rates is presented.

Authors who are presenting talks have a * after their name.

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