Continuous-Time Markov Chains: Birth and Death Processes

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Covers reversible continuous-time Markov chains and their properties.

Covers examples of absorbing Markov chains in discrete time.

Explores examples of absorbing chains in discrete-time Markov chains, focusing on transition probabilities.

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

Covers examples of absorbing chains in discrete-time Markov chains.

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

Covers stochastic processes, focusing on Markov chains and their applications in real-world scenarios.

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

Explores the Bonus Malus system for insurance premiums and Markov chain transition probabilities.

Introduces Markov chains, covering basics, generation algorithms, and applications in random walks and Poisson processes.