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Focusing on probability theory within the framework of Markov processes, this book addresses a variety of related problems, some specific to Markov processes and others with broader applicability. Primarily dealing with discrete parameter processes, it avoids complex measure theoretic issues found in continuous cases. The material is motivated by practical applications and highlights structural and representational questions that are rarely covered in existing literature. Additionally, it serves as a reference for both newcomers and those looking to advance research in this area.
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Markov Processes, Structure and Asymptotic Behavior, Murray Rosenblatt
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- 2011
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