Large deviations;
Logarithmically weighted mean;
Almost sure central limit theorem;
Triangular array;
Infinitely divisible distribution;
Hellinger distance;
D O I:
10.1016/j.jmaa.2011.01.068
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
In this paper we consider several examples of sequences of partial sums of triangular arrays of random variables {X-n: n >= 1}: in each case X-n converges weakly to an infinitely divisible distribution (a Poisson distribution or a centered Normal distribution). For each sequence we prove large deviation results for the logarithmically weighted means {1/lobn Sigma(n)(k=1) 1/k X-k: n >= 1) with speed function v(n) = logn. We also prove a sample path large {deviation principle for {X-n: n >= 1) defined by X-n(.) = Sigma i=iUi(sigma(2) .)/root n where sigma(2) is an element of (0, infinity) and {Un: n >= .1} is a sequence of independent standard Brownian motions. (C) 2011 Elsevier Inc. All rights reserved.
机构:
Lomonosov Moscow State Univ, Fac Mech & Math, Chair Math Stat & Stochast Proc, Moscow, RussiaLomonosov Moscow State Univ, Fac Mech & Math, Chair Math Stat & Stochast Proc, Moscow, Russia
机构:
Lomonosov Moscow State Univ, Fac Mech & Math, Chair Math Stat & Stochast Proc, Moscow, RussiaLomonosov Moscow State Univ, Fac Mech & Math, Chair Math Stat & Stochast Proc, Moscow, Russia