Markov chain

Related lectures (32)

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Covers Markov chains and their applications in algorithms, focusing on Markov Chain Monte Carlo sampling and the Metropolis-Hastings algorithm.

Explores Markov chains, Ising Model, Metropolis algorithm, and Glauber dynamics.

Covers Markov Chain Monte Carlo examples and error estimation methods.

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

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

Explores quantum entropy in Markov chains and Bell states, emphasizing entanglement.

Explores Markov chains and algorithm applications, including exact simulation and Propp-Wilson algorithms.

Explores Markov chain games, hitting probabilities, and expected hitting times in a target set.

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

Covers applied probability, Markov chains, and stochastic processes, including transition matrices, eigenvalues, and communication classes.