Lectures related to MCMC Examples and Error Estimation

Related lectures (32)

Covers the implementation of Markov Chain Monte Carlo (MCMC) with the Metropolis algorithm for sampling from posterior distributions.

Covers random variables, sample spaces, probability distributions, functions, expected value, variance, and estimations.