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Lecture
Markov Chain Analysis
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Related lectures (32)
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Markov Chains and Algorithm Applications
Explores Markov chains and algorithm applications, including exact simulation and Propp-Wilson algorithms.
Markov Chains: Applications and Coupled Chains
Covers Markov chains, coupled chains, and their applications, emphasizing the importance of irreducibility.
Hitting Probabilities: Markov Chains
Covers hitting probabilities in Markov chains with disjoint subsets, the function h(i), theorems, proofs, and expected time to hit calculations.
Modeling Neurobiological Signals: Markov Chains
Explores modeling neurobiological signals with Markov Chains, focusing on parameter estimation and data classification.
Stochastic Models for Communications: Discrete-Time Markov Chains - First Passage Time
Explores discrete-time Markov chains, emphasizing the concept of first passage time in communication systems.
Quantum Entropy: Markov Chains and Bell States
Explores quantum entropy in Markov chains and Bell states, emphasizing entanglement.
Stationary Distribution in Markov Chains
Explores the concept of stationary distribution in Markov chains, discussing its properties and implications, as well as the conditions for positive-recurrence.
Markov Chain Games
Explores Markov chain games, hitting probabilities, and expected hitting times in a target set.
MCMC Examples and Error Estimation
Covers Markov Chain Monte Carlo examples and error estimation methods.
Optimal Selling Strategy
Covers the optimal selling strategy in a dynamic scenario to maximize profit.
