Asymptotic predictive inference with exchangeable data

被引:1
作者
Berti, Patrizia [1 ]
Pratelli, Luca [2 ]
Rigo, Pietro [3 ]
机构
[1] Univ Modena & Reggio Emilia, Dipartimento Matemat Pura & Applicata G Vitali, Via Campi 213-B, I-41100 Modena, Italy
[2] Accademia Navale, Viale Italia 72, I-57100 Livorno, Italy
[3] Univ Pavia, Dipartimento Matemat F Casorati, Via Ferrata 1, I-27100 Pavia, Italy
关键词
Bayesian consistency; conditional identity in distribution; empirical measure; exchangeability; predictive measure; random probability measure; EMPIRICAL BAYES; CONVERGENCE;
D O I
10.1214/17-BJPS367
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Let (X-n) be a sequence of random variables, adapted to a filtration (G(n)), and let mu(n) = (1/n) Sigma(n)(i=1) X-delta(i) and a(n)(.) = P(Xn+ 1 is an element of.vertical bar G(n)) be the empirical and the predictive measures. We focus on parallel to mu(n)-a(n)parallel to = sup(B is an element of D)vertical bar mu(n)(B)-a(n)(B)vertical bar, where D is a class of measurable sets. Conditions for parallel to mu(n) - a(n) parallel to -> 0, almost surely or in probability, are given. Also, to determine the rate of convergence, the asymptotic behavior of r(n) parallel to mu(n) -a(n)parallel to is investigated for suitable constants r(n). Special attention is paid to r(n) = root n and r(n) = root n/log log n. The sequence (X-n) is exchangeable or, more generally, conditionally identically distributed.
引用
收藏
页码:815 / 833
页数:19
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