Lecture

Continuous-Time Markov Chains: Reversible Chains

Description

This lecture covers Mod.7 on continuous-time Markov chains, focusing on reversible chains. Topics include transition probabilities, stationary distribution, ergodicity, and reversibility. The lecture also discusses the properties of reversible chains and their applications in communication systems.

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Official source

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Mathematics

Algebra: Equations

Number theory: Number theory

Statistics

Statistical inference: Bayesian inference

Physics

Physical quantities: Topics in physical quantities

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