Articles by Corey S. Sparks, Ph.D.

Spatial GLMM(s) using the INLA Approximation

July 30, 2020 | 0 Comments

The INLA Approach to Bayesian models The Integrated Nested Laplace Approximation, or INLA, approach is a recently developed, computationally simpler method for fitting Bayesian models [(Rue et al., 2009, compared to traditional Markov Chain Monte Carlo (MCMC) approaches. INLA fits models that are classified as latent Gaussian models, which are applicable ...
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