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Markov Chains: Theory and Applications (Handbook of Statistics)

By: Arni S.R. Srinivasa Rao (Series editor)

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Ksh 57,000.00

Format: Hardback or Cased Book

ISBN-10: 044329576X

ISBN-13: 9780443295768

Collection / Series: Handbook of Statistics

Collection Type: Publisher collection

Publisher: Elsevier Science Publishing Co Inc

Imprint: Academic Press Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 9th, 2025

Publication Status: Active

Product extent: 420 Pages

Product Classification / Subject(s): Stochastics

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Markov Chains: Theory and Applications, Volume 52 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on topics such as Markov Chain Estimation, Approximation, and Aggregation for Average Reward Markov Decision Processes and Reinforcement Learning, Ladder processes: symmetric functions and semigroups, Continuous-time Markov Chains and Models: Study via Forward Kolmogorov System, Analysis of Data Following Finite-State Continuous-Time Markov Chains, Computational applications of poverty measurement through Markov model for income classes, and more. Other sections cover Estimation and calibration of continuous time Markov chains, Additive High-Order Markov Chains, The role of the random-product technique in the theory of Markov chains on a countable state space., On estimation problems based on type I Longla copulas, and Long time behavior of continuous time Markov chains.

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