Moderate Deviations for Bounded Subsequences

نویسنده

  • GEORGE STOICA
چکیده

Let (Xn)n≥1 be a sequence of random variables on a probability space (Ω, ,P) and p ≥ 1 a fixed real number. We say that (Xn)n≥1 is Lp-bounded if it has finite pth moments, that is, ‖Xn‖p ≤ C for some C > 0 and any n ≥ 1. Let ε > 0; finding the rate of convergence of the moderate deviations probabilities P[|∑k=1Xk| > εan] with an = (n logn)1/2 or (n loglogn)1/2 is known in the literature as Davis’ problems. More precisely, let δ = δ(p)≥ 0 be a function of p ≥ 1 and consider the series

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Moderate Deviations for Martingales with Bounded Jumps

We prove that the Moderate Deviation Principle (MDP) holds for the trajectory of a locally square integrable martingale with bounded jumps as soon as its quadratic covariation, properly scaled, converges in probability at an exponential rate. A consequence of this MDP is the tightness of the method of bounded martingale differences in the regime of moderate deviations.

متن کامل

Moderate Deviations 13

We prove that the Moderate Deviation Principle (MDP) holds for the trajectory of a locally square integrable martingale with bounded jumps as soon as its quadratic covariation, properly scaled, converges in probability at an exponential rate. A consequence of this MDP is the tightness of the method of bounded martingale diierences in the regime of moderate deviations.

متن کامل

Moderate deviations for iterates of expanding maps

We provide a mild mixing condition that carries the C.L.T. for normalized empirical means of centered stationary sequence of bounded random variables to the whole range of moderate deviations. It is also key for the exponential convergence of the laws of empirical means. The motivating example for this work are iterates of expanding maps, equipped with their unique invariant measure.

متن کامل

Moderate deviations for log-like functions of stationary Gaussian processes

A moderate deviation principle for nonlinear functions of Gaussian processes is established. The nonlinear functions need not be locally bounded. Especially, the logarithm is allowed. (Thus, small deviations of the process are relevant.) Both discrete and continuous time is treated. An integrable power-like decay of the correlation function is assumed.

متن کامل

Moderate Deviations for Functional U-processes

The moderate deviations principle is shown for the partial sums processes built on U-empirical measures of Polish space valued random variables and on U-statistics of real valued kernel functions. It is proved that in the non-degenerate case the conditions for the time xed principles suuce for the moderate deviations principle to carry over to the corresponding partial sums processes. Given a u...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006