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Discrete-Time Markov Chains Overview by zwu363 is a document available to read on EtoBox.

This document covers the fundamentals of discrete-time Markov chains as part of a stochastic modeling course. It introduces stochastic processes, defines Markov chains, and discusses their properties, including one-step memory and transition probability matrices. Several examples illustrate the application of Markov chains in various scenarios, such as genetic drift and precipitation levels.

Author
zwu363
Language
EN