• 52,99 €

Beschreibung des Verlags

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 researchers  in both applied probability and finance, and provides exercises (without solutions).

GENRE
Wissenschaft und Natur
ERSCHIENEN
2011
6. Juni
SPRACHE
EN
Englisch
UMFANG
404
Seiten
VERLAG
Springer Berlin Heidelberg
GRÖSSE
22,2
 MB

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