Search for "Markov chains" in article titles:

1. Markov chains: Arnoldo Frigessi and Bernd Heidergott Markov chains are stochastic models which play an important role in many applications in areas as diverse as biology, finance, and industrial production. Roughly speaking, Markov chains are used for modeling how a system moves ... (Mathematics) [100%] 2023-11-28 [Statprob]
2. Examples of Markov chains: This page contains examples of Markov chains in action. A game of Monopoly, snakes and ladders or any other game whose moves are determined entirely by dice is a Markov chain. [70%] 2023-05-10 [Stochastic processes]
3. Examples of Markov chains: This article contains examples of Markov chains and Markov processes in action. All examples are in the countable state space. (Examples of the probabilistic construct) [70%] 2022-09-26 [Markov models]
4. Markov Chains and Mixing Times: Markov Chains and Mixing Times is a book on Markov chain mixing times. The second edition was written by David A. [63%] 2023-09-01 [Markov processes] [Markov chain Monte Carlo]...
5. Markov Chains and Mixing Times: Markov Chains and Mixing Times is a book on Markov chain mixing times. The second edition was written by David A. [63%] 2022-11-06 [Markov processes] [Markov chain Monte Carlo]...
6. Kolmogorov equations (continuous-time Markov chains): In mathematics and statistics, in the context of Markov processes, the Kolmogorov equations, including Kolmogorov forward equations and Kolmogorov backward equations, are a pair of systems of differential equations that describe the time evolution of the process's distribution. This ... (Continuous-time Markov chains) [57%] 2023-11-08 [Markov processes]