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Bayesian Inference
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Notes
Introduction
Priors
Bayesian theory
MCMC
algorithms
and
implementation
Basic models:
GLMMs
and
hierarchical models
Model selection and evaluation:
Bayes factors
,
selection criteria
, and
model checks