Validation is crucial to ensure the reliability of MCMC results. Some common methods include:
Trace Plots: Visualizing the sampled values over iterations to check for convergence. Autocorrelation Plots: Assessing the independence of the samples. Gelman-Rubin Diagnostic: Comparing the variance within and between multiple chains to assess convergence.
