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ISBN
:
9783642183232
Publisher
:
Springer
Subject
:
Finance & Accounting, Mathematics
Binding
:
PAPERBACK
Pages
:
404
Year
:
2011
₹
6823.0
₹
6550.0
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View DetailsDescription
The theory of Markov decision processes focuses on controlled Markov chains in discrete time. The authors establish the theory for general state and action spaces and at the same time show its application by means of numerous examples, mostly taken from the fields of finance and operations research. By using a structural approach many technicalities (concerning measure theory) are avoided. They cover problems with finite and infinite horizons, as well as partially observable Markov decision processes, piecewise deterministic Markov decision processes and stopping problems. The book presents Markov decision processes in action and includes various state-of-the-art applications with a particular view towards finance. It is useful for upper-level undergraduates, Master's students and researchersxA0; in both applied probability and finance, and provides exercises (without solutions).
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