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<図書>
Markov decision processes with applications to finance

責任表示 Nicole Bäuerle, Ulrich Rieder
シリーズ Universitext
データ種別 図書
出版情報 Heidelberg : Springer , c2011
本文言語 英語
大きさ xvi, 388 p. : ill. ; 24 cm
概要 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 applica...ion 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). Book jacket.続きを見る
目次 Pt. I. Finite horizon optimization problems and financial markets
Pt. II. Partially observable Markov decision problems
Pt. III. Infinite horizon optimization problems
Pt. IV. Stopping problems
Pt. V. Appendix.
電子版へのリンク

所蔵情報


: pbk 理系図3F 数理独自 BAUE/65/1 2011
033212011002527

書誌詳細

一般注記 Includes bibliographical references (p. 369-384) and index
著者標目 *Bäuerle, Nicole
Rieder, Ulrich
件 名 LCSH:Markov processes
LCSH:Finance -- Statistics  全ての件名で検索
分 類 SG:510
書誌ID 1001452345
ISBN 9783642183232
NCID BB06215689
巻冊次 : pbk ; ISBN:9783642183232 ; XISBN:3642183239
NBN 11,N01
登録日 2011.07.29
更新日 2017.05.27