Related lectures (8)
Markov Chains: Transience & Recurrence
Explores the notions of transience and recurrence in Markov chains through various examples and calculations.
Stochastic Simulation: Markov Processes Generation
Covers the generation of Markov processes and Poisson processes in stochastic simulation.
Invariant Measures: Properties and Applications
Covers the concept of invariant measures in Markov chains and their role in analyzing irreducible recurrent processes.
Birth and Death Chains
Explores transience and recurrence in Markov chains, emphasizing birth and death chains and random walks.
Recurrence & Transience
Explores the concepts of recurrence and transience in Markov chains, distinguishing between them and discussing their implications.

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