Why do we only look at the sample from MCMC? (And ignore the sample points' posterior probabilities?)
70695
When approximating a posterior using MCMC, why don't we save the posterior probabilities but use the parameter value frequencies afterwards?
97620
What is an example of a transformation on a posterior distribution such that the MAP estimate will be non-invariant?
125489
Is power analysis necessary in Bayesian Statistics?
155438
Bayes rule logic. Why we do use this?
158244
Understanding Bayesian Predictive Distributions
143006
Are Maximum Likelihood Estimators asymptotically unbiased?
10240
Effective Sample Size for posterior inference from MCMC sampling
87076
Is there a standard way to Determine Sample Size when doing Bayesian Inference?
28397
Posterior vs conditional probability
129608
Question on the choice of boundary in the CUSUM test when we make some resampling
143905
Metropolis-Hastings acceptance ratio for truncated proposal
142324
Interpretation of Bayes Theorem applied to positive mammography results
85928
What is the deeper intuition behind the symmetric proposal distribution in the Metropolis-Hastings Algorithm?
58394
Why is posterior density proportional to prior density times likelihood function?
51457
Confusion in Gibbs sampling
6870
MCMC on a bounded parameter space?
138093
A question about notation of Bayes' Theorem