Discrete State Markov Processes

Charu C. Aggarwal
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Charu C. Aggarwal: IBM T. J. Watson Research Center

Chapter Chapter 10 in Probability and Statistics for Machine Learning, 2024, pp 435-484 from Springer

Abstract: Abstract The probabilistic processes discussed thus far in this book for generating random variables (e.g., binomial or Poisson processes) are based on trials that are independent of one another. In other words, if multiple random variables were to be generated, the generation of each variable is an independent and identical process.

Date: 2024
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DOI: 10.1007/978-3-031-53282-5_10

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