Timeline for How would you explain Markov Chain Monte Carlo (MCMC) to a layperson?
Current License: CC BY-SA 2.5
4 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Aug 19, 2016 at 12:47 | history | wiki removed | whuber♦ | ||
Nov 15, 2015 at 6:17 | comment | added | Emran Hussain | A good explanation indeed. Only one confusion is not cleared. As you said, "the idea is to construct a Markov Chain which converges to the desired Probability Distribution.". Sounds like we already know the Stead State Probability Distribution for the states, then why would we need to construct a markov chain. Markov chain's purpose is to Provide us with the steady state distribution, which we already have at the first place, is not it ? Unless you meant, getting a Markov Chain is still necessary to compute n + 1's state probability based on current state. | |
Aug 16, 2010 at 6:37 | history | made wiki | Post Made Community Wiki by user88 | ||
Jul 21, 2010 at 16:42 | history | answered | Graham Cookson | CC BY-SA 2.5 |