Markov Chains: From Theory to Implementation and Experimentation
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A fascinating and instructive guide to Markov chains for experienced users and newcomers alike
This unique guide to Markov chains approaches the subject along the four convergent lines of mathematics, implementation, simulation, and experimentation. It introduces readers to the art of stochastic modeling, shows how to design computer implementations, and provides extensive worked examples with case studies.
Markov Chains: From Theory to Implementation and Experimentation begins with a gene...























