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1:22:39
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UofU Data Science
L24 - Markov Chains
Markov Chains: From Probability Transition matrix as column-L1-normalized adjacency matrix of graphic. Ergodic properties (not transient/absorbing, cyclic, disconnected). Then limiting state q_* useful. Delicate balance. 4 algorithms (eigenvalue, power method, random walk). Mention Metropolis.
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