Markov Chain Monte Carlo

By Walter R. Gilks. 2005

635 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/be29aa63b8fe754b23f9143cc42c79d2fc5fa601

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Tom Rainforth
2. Hongseok Yang
3. R. Cornish
4. Andrew Warrington
5. Frank D. Wood
6. Matthew J. Parkinson
7. Peter W. O'Hearn
8. Viktor Vafeiadis

In Statistics and Probability

1. Tom Rainforth
2. R. Cornish
3. Hongseok Yang
4. Andrew Warrington

Citations in the corpus

• On Nesting Monte Carlo Estimators (2017, background): “ons from the produced samples. The convergence of MC integration has been considered arXiv:1709.06181v1 [stat.CO] 18 Sep 2017 RAINFORTH, CORNISH, YANG, WARRINGTON, AND WOOD extensively in literature (Gilks, 2005; Robert, 2004). However, the theoretical implications arising from the nesting of MC sch”