M
Miguel A. Arcones
Researcher at Binghamton University
Publications - 62
Citations - 2061
Miguel A. Arcones is an academic researcher from Binghamton University. The author has contributed to research in topics: Estimator & Empirical process. The author has an hindex of 21, co-authored 62 publications receiving 1907 citations. Previous affiliations of Miguel A. Arcones include University of Utah & Columbia University.
Papers
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Book ChapterDOI
Limit Theorems for $U$-Processes
Miguel A. Arcones,Evarist Giné +1 more
TL;DR: The U-process theory as discussed by the authors is a collection of U-statistics over a family H of kernels h of m variables, based on a probability measure P on (S,S).
Journal ArticleDOI
Limit Theorems for Nonlinear Functionals of a Stationary Gaussian Sequence of Vectors
TL;DR: In this article, limit theorems for functions of stationary mean-zero Gaussian sequences of vectors satisfying long range dependence conditions are considered and a sufficient bracketing condition for these limit-theorems to happen uniformly over a class of functions is presented.
Journal ArticleDOI
On the Bootstrap of $U$ and $V$ Statistics
Miguel A. Arcones,Evarist Giné +1 more
TL;DR: Bootstrap distributional limit theorems for $U$ and $V$ statistics are proved in this paper, under weak moment conditions and without restrictions on the bootstrap sample size (as long as it tends to be too large).
Journal ArticleDOI
Central limit theorems for empirical and U -processes of stationary mixing sequences
Miguel A. Arcones,Bin Yu +1 more
TL;DR: In this article, a uniform central limit theorem for weak convergence to Gaussian processes of empirical processes and U-processes from stationary β mixing sequences indexed by V-C subgraph classes of functions is given.
Journal Article
The bootstrap of the mean with arbitrary bootstrap sample size
Miguel A. Arcones,Evarist Giné +1 more
TL;DR: In this paper, le theoreme central limite "bootstrap" presque sur et en probabilite, for des variables aleatoires X de second moment infini, dans le domaine d'attraction de la loi normale ou des autres lois stables, ou dans la domaine partiel deattraction d'une loi infiniment divisible.