Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability)

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9780387946283: Discrete Gambling and Stochastic Games (Stochastic Modelling and Applied Probability)

The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was not until the middle of the twentieth century that mathematicians de­ veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op­ timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage (1965) uses gambling termi­ nology and examples to develop an elegant, deep, and quite general theory of discrete-time stochastic control. A gambler "controls" the stochastic pro­ cess of his or her successive fortunes by choosing which games to play and what bets to make.

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The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was not until the middle of the twentieth century that mathematicians developed general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding optimal strategies are at the heart of the modern theory of stochastic control and stochastic games. This monograph provides an introduction to the ideas of gambling theory and stochastic games. The first chapters introduce the ideas and notation of gambling theory. Chapters 3 and 4 consider "leavable" and "nonleavable" problems that form the core theory of this subject. Chapters 5, 6, and 7 cover stationary strategies, approximation results, and two-person zero-sum stochastic games, respectively. Throughout, the authors have included examples, and there are problem sets at the end of each chapter.

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Ashok P. Maitra/ William D. Sudderth
Editore: Springer Verlag (1996)
ISBN 10: 0387946284 ISBN 13: 9780387946283
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Descrizione libro Springer Verlag, 1996. Hardcover. Condizione libro: Brand New. 1st edition. 244 pages. 9.75x6.50x0.75 inches. In Stock. Codice libro della libreria __0387946284

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A.P. Maitra, W.D. Sudderth
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ISBN 10: 0387946284 ISBN 13: 9780387946283
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Descrizione libro Springer-Verlag New York Inc., United States, 1996. Hardback. Condizione libro: New. 1996 ed.. Language: English . Brand New Book. The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was not until the middle of the twentieth century that mathematicians de- veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op- timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage (1965) uses gambling termi- nology and examples to develop an elegant, deep, and quite general theory of discrete-time stochastic control. A gambler controls the stochastic pro- cess of his or her successive fortunes by choosing which games to play and what bets to make. Codice libro della libreria LIB9780387946283

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A.P. Maitra, W.D. Sudderth
Editore: Springer-Verlag New York Inc., United States (1996)
ISBN 10: 0387946284 ISBN 13: 9780387946283
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Descrizione libro Springer-Verlag New York Inc., United States, 1996. Hardback. Condizione libro: New. 1996 ed.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was not until the middle of the twentieth century that mathematicians de- veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op- timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage (1965) uses gambling termi- nology and examples to develop an elegant, deep, and quite general theory of discrete-time stochastic control. A gambler controls the stochastic pro- cess of his or her successive fortunes by choosing which games to play and what bets to make. Codice libro della libreria LIE9780387946283

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A.P. Maitra, W.D. Sudderth
Editore: Springer-Verlag New York Inc., United States (1996)
ISBN 10: 0387946284 ISBN 13: 9780387946283
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Descrizione libro Springer-Verlag New York Inc., United States, 1996. Hardback. Condizione libro: New. 1996 ed.. Language: English . Brand New Book. The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was not until the middle of the twentieth century that mathematicians de- veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op- timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage (1965) uses gambling termi- nology and examples to develop an elegant, deep, and quite general theory of discrete-time stochastic control. A gambler controls the stochastic pro- cess of his or her successive fortunes by choosing which games to play and what bets to make. Codice libro della libreria LIB9780387946283

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Maitra, Ashok P., Sudderth, William D.
Editore: Springer (2017)
ISBN 10: 0387946284 ISBN 13: 9780387946283
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Descrizione libro Springer, 2017. Hardcover. Condizione libro: New. This item is printed on demand. Codice libro della libreria P110387946284

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Ashok P. Maitra, William Sudderth
Editore: Springer New York 1996-03-14, New York |London (1996)
ISBN 10: 0387946284 ISBN 13: 9780387946283
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Descrizione libro Springer New York 1996-03-14, New York |London, 1996. hardback. Condizione libro: New. Codice libro della libreria 9780387946283

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Descrizione libro Springer-Verlag New York Inc., 1996. HRD. Condizione libro: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria IP-9780387946283

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Descrizione libro Springer, 2016. Paperback. Condizione libro: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice libro della libreria ria9780387946283_lsuk

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Ashok P. Maitra; William D. Sudderth
Editore: Springer (1996)
ISBN 10: 0387946284 ISBN 13: 9780387946283
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Descrizione libro Springer, 1996. Condizione libro: New. Codice libro della libreria L9780387946283

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Ashok P. Maitra
Editore: Springer Mrz 1996 (1996)
ISBN 10: 0387946284 ISBN 13: 9780387946283
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Descrizione libro Springer Mrz 1996, 1996. Buch. Condizione libro: Neu. Neuware - The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was not until the middle of the twentieth century that mathematicians de veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage (1965) uses gambling termi nology and examples to develop an elegant, deep, and quite general theory of discrete-time stochastic control. A gambler 'controls' the stochastic pro cess of his or her successive fortunes by choosing which games to play and what bets to make. 244 pp. Englisch. Codice libro della libreria 9780387946283

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