Effective sample size (ESS) is a measure that quantifies the amount of independent information contained in a sample when estimating parameters in Bayesian analysis. It accounts for the correlation among samples, especially in Markov Chain Monte Carlo (MCMC) methods, providing insights into the efficiency of sampling algorithms and the reliability of estimates derived from them. A higher effective sample size indicates better representation of the target distribution, which is crucial for making accurate inferences.
congrats on reading the definition of Effective Sample Size. now let's actually learn it.