Explore advanced Bayesian computational methods in this comprehensive lecture series, covering topics such as Metropolis Hastings algorithm, techniques for accelerating Bayesian computations, fundamental principles of Bayesian computation, methods for assessing convergence, and Gibbs sampling. Gain in-depth knowledge and practical skills to enhance your understanding of sophisticated Bayesian statistical approaches.
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
