Laplace moving averages replace Gaussian processes in SGLMMs to improve predictive performance on data with localized spikes, with a new discrete-space formulation and conjugate samplers for Bayesian analysis.
Adding spatially-correlated errors can mess up the fixed effect you love.The American Statistician, 64(4):325–334
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Bayesian Analysis of Spatial Generalized Linear Mixed Models with Laplace Random Fields
Laplace moving averages replace Gaussian processes in SGLMMs to improve predictive performance on data with localized spikes, with a new discrete-space formulation and conjugate samplers for Bayesian analysis.