This book is about Markovian models, and particularly about the structure and stability of such models. We develop a theoretical basis by studying Markov chains in very general contexts; and we develop, as systematically as we can, the applications of this theory to applied models in systems engineering, in operations research, and in time series.
KeywordsMarkov Chain Random Walk State Space Model Markov Chain Monte Carlo Method Stochastic Stability
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