This course covers advanced Bayesian methods including Metropolis Hastings, speeding up Bayesian computations, basics of Bayesian computation, assessing convergence, and Gibbs sampling. The course aims to teach students how to apply these methods effectively in their research. The teaching method involves a combination of theoretical explanations and practical examples. This course is intended for researchers, academics, and professionals who have a basic understanding of Bayesian statistics and want to deepen their knowledge in this area.
Overview
Syllabus
Advanced Bayesian Methods: Introduction.
Advanced Bayesian Methods: Metropolis Hastings.
Advanced Bayesian Methods: Speeding up Bayesian computations.
Advanced Bayesian Methods: The Basics of Bayesian Computation.
Advanced Bayesian Methods: Assessing Convergence.
Advanced Bayesian Methods: Gibbs Sampling.
Taught by
NCRMUK
