/explore
|
You are here 
|
darrenjw.wordpress.com | ||
| | | | |
www.ethanepperly.com
[AI summary] A computational scientist writes a detailed mathematical proof of the fundamental theorem of Markov chains using coupling methods. |
|
| | | | | ||
| | | | |
djalil.chafai.net
Markov-Chains-Monte-Carlo (MCMC for short) methods are widely used in practice for the approximate computation of integrals on various types of spaces. More precisely, let \(\mu\) be a probability measure on \(E\), known only up to a multiplicative constant. Let \(K\) be an irreducible Markov kernel on \(E\). Then by using a classical Metropolis-Hastings type construction, one cook up a computable... |
|
| | | | | ||
| | | | |
isaacslavitt.com
[AI summary] The article discusses the German Tank Problem, a statistical estimation challenge where the goal is to infer the total number of tanks based on observed serial numbers, using Bayesian methods and MCMC libraries like Sampyl, PyMC3, and PyStan. |
|
| | | | | ||
| | | | |
jmlr.org
|
|
| | | |||
