Markov Chains - Dartmouth College
Chapter 11 Markov Chains 11.1 Introduction Most of our study of probability has dealt with independent trials processes. These processes are the basis of classical probability theory and much of statistics.
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Examples of Markov chains 1. Random walk: Let f n: n 1gdenote any iid sequence (called the increments), and de ne X n def= 1 + + n; X 0 = 0: (3) The Markov …
2 . A n a l ysi s 2 . 1 I n t ro d u ct i o n t o Ma rko v ch a i n s Markov chains are a fundamental part of stochastic processes. They are used widely in many
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