Markov Chains and Mixing Times: Second Edition

By David A. Levin, Yuval Peres. 2017

595 citations recorded by the source corpus.

Subfields: Condensed Matter Physics, Management Information Systems, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/40cabde90f17d530e340b3f745cfc86b7a7ac140

How researchers see this paper

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

In Statistics and Probability

1. Jalaj Bhandari
2. Raghav Singal
3. Daniel Russo

Citations in the corpus

• A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation (2018, background): “This uniform mixing assumption always holds for irreducible and aperiodic Markov chains [Levin and Peres, 2017].”