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搜索结果: 1-14 共查到moderate deviations相关记录14条 . 查询时间(0.056 秒)
In this paper, we consider moderate deviations for Good's coverage estimator. The moderate deviation principle and the self-normalized moderate deviation principle for Good's coverage estimator are es...
The random field Curie-Weiss model is derived from the classical Curie-Weiss model by replacing the deterministic global magnetic field by random local magnetic fields. This opens up a new and interes...
Abstract: In the present paper we prove moderate deviations for a Curie-Weiss model with external magnetic field generated by a dynamical system, as introduced by Dombry and Guillotin-Plantard. The re...
The delta method is a popular and elementary tool for deriving limiting distributions of transformed statistics, while applications of asymptotic distributions do not allow one to obtain desirable a...
The purpose of the present paper is to establish moderate deviation principles for a rather general class of random variables fulfilling certain bounds of the cumulants. We apply a celebrated lemma of...
In the present paper, we consider the models for large dependent risk portfolios, especially for credit risk models. Furthermore, the central limit theorem and moderate deviations principle of models ...
We obtain uniform (in time) moderate deviations for the functional empirical process ofa general state space Markov chain under the geometric ergodicity assumption, and a regularity condition for t...
Motivated by the study of dependent random variables by coupling with independent blocks of variables,we obtain first sufficient conditions for the moderate deviation principle in its functional form ...
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, conver...
Let X , X1, X 2 , ... be i.i.d. R d-valued random variables. We prove large and moderate deviations for Hotelling's T2-statistic when X is in the generalized domain of attraction of the normal law.
Let X , X1, X 2 , ... be i.i.d. R d-valued random variables. We prove large and moderate deviations for Hotelling's T2-statistic when X is in the generalized domain of attraction of the normal law.
Let $\{X_n ; n\geq 1\}$ be a sequence of independent non-negative random variables with common distribution function $F$ having extended regularly varying tail and finite mean $\mu=E(X_1)$ and let $\{...
This paper shows the structure of the random variables with dominatedly varyingtails and that of the associated random variables, and obtains some results on theser.v.s' precise moderate deviations wi...
In this paper, we prove large deviations principle for the Nadaraya-Watson estimator and for the semi-recursive kernel estimator of the regression in the multidimensional case. Under suitable condi...

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