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Titlebook: Bandit problems; Sequential Allocatio Donald A. Berry,Bert Fristedt Book 1985 D. A. Berry and B. Fristedt 1985 Calculation.Counting.Mathema

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發(fā)表于 2025-3-21 16:04:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bandit problems
期刊簡(jiǎn)稱Sequential Allocatio
影響因子2023Donald A. Berry,Bert Fristedt
視頻videohttp://file.papertrans.cn/181/180555/180555.mp4
學(xué)科分類(lèi)Monographs on Statistics and Applied Probability
圖書(shū)封面Titlebook: Bandit problems; Sequential Allocatio Donald A. Berry,Bert Fristedt Book 1985 D. A. Berry and B. Fristedt 1985 Calculation.Counting.Mathema
影響因子Our purpose in writing this monograph is to give a comprehensive treatment of the subject. We define bandit problems and give the necessary foundations in Chapter 2. Many of the important results that have appeared in the literature are presented in later chapters; these are interspersed with new results. We give proofs unless they are very easy or the result is not used in the sequel. We have simplified a number of arguments so many of the proofs given tend to be conceptual rather than calculational. All results given have been incorporated into our style and notation. The exposition is aimed at a variety of types of readers. Bandit problems and the associated mathematical and technical issues are developed from first principles. Since we have tried to be comprehens- ive the mathematical level is sometimes advanced; for example, we use measure-theoretic notions freely in Chapter 2. But the mathema- tically uninitiated reader can easily sidestep such discussion when it occurs in Chapter 2 and elsewhere. We have tried to appeal to graduate students and professionals in engineering, biometry, econ- omics, management science, and operations research, as well as those in mathematics an
Pindex Book 1985
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Two independent Bernoulli arms; uniform discounting,nce . has horizon n and is uniform: . . = ... = . . = 1 and . . = . . = ... = 0. Such uniform discounting has been considered extensively through examples in the first five chapters of this book, and in the literature generally. The objective implicit in uniform discounting is to maximize the expect
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Minimax Approach,cide how to handle this uncertainty. In the first eight chapters of this monograph the approach used is to average the payoff over the unknown characteristics with respect to a specified prior distribution — a Bayesian approach, in statistical parlance.
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Book 1985s in Chapter 2. Many of the important results that have appeared in the literature are presented in later chapters; these are interspersed with new results. We give proofs unless they are very easy or the result is not used in the sequel. We have simplified a number of arguments so many of the proof
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