Real-life example in which Markov chain Monte Carlo is desirable?
1639
Why is it necessary to sample from the posterior distribution if we already KNOW the posterior distribution?
97620
What is an example of a transformation on a posterior distribution such that the MAP estimate will be non-invariant?
128582
A reference request for real world experimental data
97724
Gibbs sampling convergence
156916
Intuitive and Formulaic Justification for the Rao-Blackwell Theorem
92834
Motivation for statistical distributions
45492
Using Joint Distributions and conditional probabilities
39171
Explanation of statistical simulation
150364
Metropolis Hastings proposal for one parameter restricted to less than the other
140065
Expectation maxmisation algorithm increases true likelihood at each iteration
111411
Applied Probability- Bayes theorem
122328
Justifying the Normal Approx to the Binomial Distribution through MGFs
143905
Metropolis-Hastings acceptance ratio for truncated proposal
10158
Confidence interval for the p-value estimate when doing Monte Carlo testing
29420
2 Questions about Markov chain
63358
Success of Bernoulli trials with different probabilities
7161
Why does Monte-Carlo integration work better than naive numerical integration in high dimensions?