書目名稱 | Markov Decision Processes with Applications to Finance | 編輯 | Nicole B?uerle,Ulrich Rieder | 視頻video | http://file.papertrans.cn/625/624628/624628.mp4 | 概述 | Contains various applications with a particular view towards finance/insurance.Avoids many technical (e.g. measure theoretic) problems.The collection of topics is unique.Approach is problem-oriented a | 叢書名稱 | Universitext | 圖書封面 |  | 描述 | .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). . | 出版日期 | Textbook 2011 | 關(guān)鍵詞 | 90C40, 93E20, 60J05, 91G10, 93E35, 60G40; Markov Decision Processes; Partially Observable Markov Decis | 版次 | 1 | doi | https://doi.org/10.1007/978-3-642-18324-9 | isbn_softcover | 978-3-642-18323-2 | isbn_ebook | 978-3-642-18324-9Series ISSN 0172-5939 Series E-ISSN 2191-6675 | issn_series | 0172-5939 | copyright | Springer-Verlag GmbH Berlin Heidelberg 2011 |
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