| Display title | Markov chain Monte Carlo |
| Default sort key | Markov Chain Monte Carlo |
| Page length (in bytes) | 28,248 |
| Namespace ID | 0 |
| Page ID | 206626 |
| Page content language | en - English |
| Page content model | wikitext |
| Indexing by robots | Allowed |
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| Counted as a content page | Yes |
| HandWiki item ID | None |
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| Page creator | imported>Wikisleeper |
| Date of page creation | 20:36, 6 February 2024 |
| Latest editor | imported>Wikisleeper |
| Date of latest edit | 20:36, 6 February 2024 |
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Description | Content |
Article description: (description)
This attribute controls the content of the description and og:description elements. | In statistics, Markov chain Monte Carlo (MCMC) methods comprise a class of algorithms for sampling from a probability distribution. By constructing a Markov chain that has the desired distribution as its equilibrium distribution, one can obtain a sample of the desired distribution by recording states... |
