£73.03

Springer Discrete Gambling and Stochastic Games: 32 (Stochastic Modelling and Applied Probability, 32)

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£75.27 £72.52 £73.12 £73.72 £74.32 £74.92 £75.52 20 February 2026 13 March 2026 04 April 2026 26 April 2026 18 May 2026

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 September 2011
Listed Since
12 July 2012

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