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You are here		jmlr.org Optimal Transport for Stationary Markov Chains via Policy Iteration
\|	\|	setosa.io Markov Chains	3.0 parsecs away Travel
\|	\|	[AI summary] A visual and practical explanation of Markov Chains, covering concepts like state spaces and transition matrices, with examples in weather modeling and Google's search algorithm.	3.0 parsecs away Travel
\|	\|	djalil.chafai.net How to speed up MCMC algorithms - Libres pensées d'un mathématicien ordinaire	6.8 parsecs away Travel
\|	\|	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...	6.8 parsecs away Travel
\|	\|	www.ethanepperly.com Markov Musings 1: The Fundamental Theorem Ethan N. Epperly	3.1 parsecs away Travel
\|	\|	[AI summary] A computational scientist writes a detailed mathematical proof of the fundamental theorem of Markov chains using coupling methods.	3.1 parsecs away Travel
\|	\|	deejaygraham.github.io Microbit Markov Text Generator \| invalid argument: a blog by d.j. graham	25.0 parsecs away Travel
\|		a triumph of style over substance	25.0 parsecs away Travel