Dynamic Probabilistic Systems : Volume I: Markov Models (Series in Decision and Control)
Dynamic Probabilistic Systems: Volume I: Markov Models offers a focused treatment of Markov models within the broader fields of decision and control. Ronald A. Howard’s volume provides a rigorous foundation for readers studying probabilistic systems, dynamic processes, and mathematical approaches to decision-making under uncertainty.
About This Book
Dynamic Probabilistic Systems: Volume I: Markov Models presents a focused study of probabilistic systems that evolve over time.
The book centers on Markov models, a foundational framework for representing systems in which future behavior is described through probabilistic relationships.
Published as part of the Series in Decision and Control, it connects probabilistic modeling with the analysis of dynamic systems and decision processes.
Written by Ronald A. Howard, this volume is suited to readers seeking a structured reference on Markov models and their role in decision and control.
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