Markov Decision Processes with Applications to Finance is popular PDF and ePub book, written by Nicole Bäuerle in 2011-06-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Markov Decision Processes with Applications to Finance can be Read Online from any device for your convenience.
Markov Decision Processes with Applications to Finance Book PDF Summary
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).
Detail Book of Markov Decision Processes with Applications to Finance PDF
- Author : Nicole Bäuerle
- Release : 06 June 2011
- Publisher : Springer Science & Business Media
- ISBN : 9783642183249
- Genre : Mathematics
- Total Page : 393 pages
- Language : English
- PDF File Size : 8,9 Mb
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