Lectures related to Birth–death process

Explores continuous-time Markov chains with a focus on birth and death processes.

Covers the theory of continuous-time Markov chains, focusing on birth and death processes.

Explores the notions of transience and recurrence in Markov chains through various examples and calculations.

Covers the generation of Markov processes and Poisson processes in stochastic simulation.

Covers the concept of invariant measures in Markov chains and their role in analyzing irreducible recurrent processes.

Explores transience and recurrence in Markov chains, emphasizing birth and death chains and random walks.

Covers stochastic models for communications, focusing on the M/G/∞ queue.