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Sanov's theorem in the Wasserstein distance: A necessary and sufficient condition
Wang, Ran1; Wang, Xinyu1; Wu, Liming2,3
2010-03-01
发表期刊STATISTICS & PROBABILITY LETTERS
ISSN0167-7152
卷号80期号:5-6页码:505-512
摘要Let (X(n))(n >= 1) be a sequence of i.i.d.r.v.'s with values in a Polish space (E, d) of law mu. Consider the empirical measures L(n) = 1/n Sigma(n)(k=1) delta(Xk), n >= 1. Our purpose is to generalize Sanov's theorem about the large deviation principle of L(n) from the weak convergence topology to the stronger Wasserstein metric W(p). We show that L(n) satisfies the large deviation principle in the Wasserstein metric W(p) (p is an element of [1, +infinity)) if and only if integral(E) e(lambda dp(x0, x))d mu(x) < +infinity for all lambda > 0, and for some x(0) is an element of E. (C) 2009 Elsevier B.V. All rights reserved.
DOI10.1016/j.spl.2009.12.003
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000274946100032
出版者ELSEVIER SCIENCE BV
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/11200
专题中国科学院数学与系统科学研究院
通讯作者Wang, Ran
作者单位1.Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
2.Univ Clermont Ferrand, Lab Math Appl, CNRS, UMR 6620, F-63177 Aubiere, France
3.Chinese Acad Sci, Inst Appl Math, Beijing 100190, Peoples R China
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GB/T 7714
Wang, Ran,Wang, Xinyu,Wu, Liming. Sanov's theorem in the Wasserstein distance: A necessary and sufficient condition[J]. STATISTICS & PROBABILITY LETTERS,2010,80(5-6):505-512.
APA Wang, Ran,Wang, Xinyu,&Wu, Liming.(2010).Sanov's theorem in the Wasserstein distance: A necessary and sufficient condition.STATISTICS & PROBABILITY LETTERS,80(5-6),505-512.
MLA Wang, Ran,et al."Sanov's theorem in the Wasserstein distance: A necessary and sufficient condition".STATISTICS & PROBABILITY LETTERS 80.5-6(2010):505-512.
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