Markov chain Monte Carlo in practice
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Type: Book
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Markov chain monte carlo in practice
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Type: Book
"In pioneering work in the 1950s, S. Karlin and J. McGregor showed that probabilistic aspects of certain Markov processes can be studied by analyzing the orthogonal eigenfunctions of associated operators. In the decades since, many authors have extended and deepened this surpris…
Hidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems. The hands-on examples explored in the book help you simpl…
The present edition adds new chapters on elements of stochastic calculus and introductory mathematical finance, markov chains, markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation.
