Article

The Bayesian Group Lasso for Confounded Spatial Data

2017-03-01

Abstract excerpt

Generalized linear mixed models for spatial processes are widely used in applied statistics. In many applications of the spatial generalized linear mixed model (SGLMM), the goal is to obtain inference about regression coefficients while achieving optimal predictive ability. When implementing the SGLMM, multicollinearity among covariates and the spatial random effects can make computation challenging and influence...

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Literature Corpus work: d2e1b349-7b30-5022-a55c-54e84ef16b07
DOI: 10.1007/s13253-016-0274-1

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