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Transient, Steady-State, and Ruin Probabilities of Markov and Gambling Models.
・ISBN 978-1-4704-7202-3 paper US$ 135.00
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| 著者・編者 | Krinik, Alan / Swift, Randall J. / Switkes, Jennifer M. (eds.), |
|---|---|
| シリーズ | Contemporary Mathematics |
| 出版社 | (American Mathematical Society, US) |
| 出版年月 | 2026 |
| ページ数 | 330 pp. |
| 言語 | ENG |
| ニュース番号 | <M25-25375> |
解説
This volume consists of fifteen articles mainly based upon presentations given at AMS Special Sessions at Joint Mathematics Meetings during 2022-2025. Sample topics include: the advantage of serving first in a pickleball match, variance calculations in Texas hold'em and video poker, a mathematical introduction to data modeling and decision making, transient symmetry analysis of absorbed random walks on integer lattices, and finding explicit transient probabilities within various Markov models. Among authors of articles in the volume are well-known mathematicians such as William A. Massey, Stewart N. Ethier, and Sheldon M. Ross.