Markov decision processes with applications to finance

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....

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Xehetasun bibliografikoak
Egile Nagusiak: Bäuerle, Nicole, Rieder, Ulrich (Egilea)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizioa:1st ed. 2011.
Saila:Universitext
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Oharra: Description d'après consultation du 26 février 2013
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Edition sous un autre format:• Markov decision processes with applications to finance, Nicole Bäuerle, Ulrich Rieder, Berlin, Springer, 2011, 1 vol. (XVI-388 p.), Universitext, 978-3-642-18323-2
Deskribapena
Gaia: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).  
Alearen deskribapena:Description d'après consultation du 26 février 2013
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografia:Bibliogr. Index
ISBN:9783642183249
ISSN:2191-6675
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