Markov Chains: Reversibility and Irreducibility

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Stochastic Processes: Time Reversal

Explores time reversal in stationary Markov chains and the concept of detailed balance conditions.

Discrete-Time Markov Chains: Reversible Chains

Covers reversible discrete-time Markov chains in communication models.

Discrete-Time Markov Chains: Reversible Chains

Covers reversible discrete-time Markov chains and their concept of reversibility.

Markov Chains: Reversibility & Convergence

Covers Markov chains, focusing on reversibility, convergence, ergodicity, and applications.

Modelling Stochastic Communications: Reversible Discrete-Time Markov Chains

Covers reversible discrete-time Markov chains in stochastic communications, explaining stationarity and transition probabilities.

Stochastic Models for Communications

Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.

Continuous-Time Markov Chains: Reversible Chains

Covers reversible continuous-time Markov chains and their properties.

Markov Chains: Reversibility and Stationary Distribution

Explores reversibility in Markov chains and its impact on the stationary distribution, highlighting the complexity of non-reversible chains.

Markov Chains: Theory and Applications

Covers the theory and applications of Markov chains in modeling random phenomena and decision-making under uncertainty.

Irreducible periodic case

Explores convergence results for periodic case reversibility in Markov chains, covering irreducible chains, positive recurrence, reversible processes, and random walks on finite graphs.