Bayesian hierarchical modelling

The objective of the module is to familiarize the students with advanced strategies for Bayesian modelling. The major topics to be covered are: • Bayesian treatment of non-hierarchical regression models. • Simulation based computation for inference and posterior predictive model checking. • Multilevel structures in Bayesian regression. • Multilevel models and analysis of variance. • Prior sensitivity analysis • Advanced modelling and computation using statistical software packages.

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