Advanced Bayesian Methods
Offered By: The National Centre for Research Methods via YouTube
Course Description
Overview
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.
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
Related Courses
CERTaIN: Pragmatic Clinical Trials and Healthcare Delivery EvaluationsThe University of Texas MD Anderson Cancer Center via edX Advanced Machine Learning
Higher School of Economics via Coursera Interpreting Data with Advanced Statistical Models
Pluralsight Recommender Systems and Deep Learning in Python
Udemy STAT 415: Introduction to Mathematical Statistics
Pennsylvania State University via OPEN.ED@PSU