Unlock: Markov Chain Monte Carlo
When you can evaluate a target up to a normalizing constant but cannot sample from it, build a Markov chain whose stationary distribution is the target. Detailed balance, ergodicity, mixing time, autocorrelation, and the variance penalty for non-iid samples.
36 Prerequisites0 Mastered0 Working34 Gaps
Prerequisite mastery6%
Recommended probe
Metric Spaces, Convergence, and Completeness is your weakest prerequisite with available questions. You haven't been assessed on this topic yet.
Markov Chain Monte CarloTARGET
Not assessed16 questions
Not assessed1 question
Markov Chains and Steady StateFoundations
Not assessed6 questions
Not assessed5 questions
Sign in to track your mastery and see personalized gap analysis.