# Markov Chains and Monte Carlo Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/markov-chains-and-monte-carlo-methods/

## Facts

| Field | Value |
| --- | --- |
| Citations | 436,706 |
| Description | This cluster of papers focuses on the application of Bayesian Monte Carlo methods, such as Markov Chain Monte Carlo (MCMC), Approximate Bayesian Computation, and Hamiltonian Monte Carlo, in scientific inference for inverse problems, model selection, and statistical estimation. It also explores adaptive MCMC algorithms and stochastic gradient Langevin dynamics for efficient parameter inference and approximation algorithms. |
| Domain | Physical Sciences |
| Field | Mathematics |
| OpenAlex ID | https://openalex.org/T12056 |
| Works | 34,389 |

## Topic papers all

- [TIMSS 2011 International Results in Mathematics.](https://scholariq.org/papers/timss-2011-international-results-in-mathematics/)
- [A Randomized Rounding Approach to the Traveling Salesman Problem](https://scholariq.org/papers/a-randomized-rounding-approach-to-the-traveling-salesman-problem/)
- [A History of the Metropolis–Hastings Algorithm](https://scholariq.org/papers/a-history-of-the-metropolis-hastings-algorithm/)
- [Entropy, optimization and counting](https://scholariq.org/papers/entropy-optimization-and-counting/)
- [Bayesian policy reuse](https://scholariq.org/papers/bayesian-policy-reuse/)

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Amos Tversky](https://scholariq.org/researchers/amos-tversky/)
- [Michael I. Jordan](https://scholariq.org/researchers/michael-i-jordan/)
- [Peter Donnelly](https://scholariq.org/researchers/peter-donnelly/)
- [Stephen Boyd](https://scholariq.org/researchers/stephen-boyd/)
- [Andrew Gelman](https://scholariq.org/researchers/andrew-gelman/)
- [C. Luci](https://scholariq.org/researchers/c-luci/)
- [A. Korytov](https://scholariq.org/researchers/a-korytov/)
- [Susan Holmes](https://scholariq.org/researchers/susan-holmes/)
- [Matthew Stephens](https://scholariq.org/researchers/matthew-stephens/)
- [John P. Huelsenbeck](https://scholariq.org/researchers/john-p-huelsenbeck/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.