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- W4251569481 abstract "This chapter lays the foundation required for Monte Carlo Markov chain computation. The introductory section details the Kolmogorov consistency theorem. Markov chain concepts are illustrated through diagrams and small clever R programs. The application of Markov chain for the Metropolis-Hastings algorithm and Gibbs sampler are studied following an application of the algorithms to some problems in probability and stochastic processes." @default.
- W4251569481 created "2022-05-12" @default.
- W4251569481 date "2016-03-21" @default.
- W4251569481 modified "2023-09-26" @default.
- W4251569481 title "Stochastic Processes" @default.
- W4251569481 doi "https://doi.org/10.1002/9781119152743.ch10" @default.
- W4251569481 hasPublicationYear "2016" @default.
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