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Markov Chain Monte Carlo (MCMC) Sampling, Part 1: The Basics (2019)
In this first post of Tweag’s four-part series on Markov chain Monte Carlo sampling algorithms, you will learn about why and when to use them and the theoretical underpinnings of this powerful class of sampling methods. We discuss the famous Metropolis-Hastings algorithm and give an intuition on the choice of its free…
- Points
- 146
- HN comments
- 21
- Submissions
- 1
- Cited by
- 0 commenters
Databases & DataMath & Algorithms2020
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Oct 28, 2020 | Markov Chain Monte Carlo (MCMC) Sampling, Part 1: The Basics (2019) by vonadz | 146 | 21 |
