Central limit theorem in complete feedback games

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY
Andrea Ottolini, Raghavendra Tripathi
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引用次数: 2

Abstract

Abstract Consider a well-shuffled deck of cards of n different types where each type occurs m times. In a complete feedback game, a player is asked to guess the top card from the deck. After each guess, the top card is revealed to the player and is removed from the deck. The total number of correct guesses in a complete feedback game has attracted significant interest in the past few decades. Under different regimes of m , n , the expected number of correct guesses, under the greedy (optimal) strategy, has been obtained by various authors, while there are not many results available about the fluctuations. In this paper we establish a central limit theorem with Berry–Esseen bounds when m is fixed and n is large. Our results extend to the case of decks where different types may have different multiplicity, under suitable assumptions.
完全反馈对策中的中心极限定理
考虑一副洗牌,有n种不同类型的牌,每种类型出现m次。在一个完整的反馈游戏中,玩家被要求从牌堆中猜出最上面的一张牌。每次猜中后,最上面的牌就会显示给玩家,并从牌组中移除。在过去的几十年里,在一个完整的反馈游戏中正确猜测的总数引起了人们极大的兴趣。在m, n的不同状态下,贪婪(最优)策略下的期望正确猜测数已经被许多作者得到,而关于波动的结果并不多。本文建立了m固定且n较大时具有Berry-Esseen界的中心极限定理。我们的结果推广到甲板的情况下,不同类型可能有不同的多重性,在适当的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Applied Probability
Journal of Applied Probability 数学-统计学与概率论
CiteScore
1.50
自引率
10.00%
发文量
92
审稿时长
6-12 weeks
期刊介绍: Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. A submission to Applied Probability represents a submission that may, at the Editor-in-Chief’s discretion, appear in either the Journal of Applied Probability or the Advances in Applied Probability. Typically, shorter papers appear in the Journal, with longer contributions appearing in the Advances.
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