Continuous-Time Markov Chains: Asymptotic Behavior

Related lectures (32)

Page 3 of 4

Covers Mod.7 on continuous-time Markov chains, focusing on reversible chains and their applications in communication systems.

Covers the introduction and properties of Markov chains, including transition matrices and stochastic processes.

Covers continuous-time Markov chains, focusing on reversible chains and their properties.

Explores the coupling of Markov chains and the proof of the ergodic theorem, emphasizing distribution convergence and chain properties.

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

Covers reversible continuous-time Markov chains and their properties.

Covers continuous-time Markov chains and Kolmogorov equations in stochastic communication models.

Covers the equations of Kolmogorov for continuous-time Markov chains.

Covers Markov chains, coupled chains, and their applications, emphasizing the importance of irreducibility.

Covers the application of Markov chains and algorithms for function optimization and graph colorings.