Results 11 to 20 of about 252 (167)
Trimmed means for functional data [PDF]
, 2001 Data depth, functional data, trimmed means estimates, 62G07, 62G05,
Fraiman, Ricardo +3 more
core +1 more source
Bootstrap variance estimation for Nadaraya quantile estimator [PDF]
, 2009 Nadaraya quantile estimator, Order-calibration, Smoothed bootstrap, 62G05, 62G09, 62G30,
Cheung, KY +5 more
core +1 more source
Dependence Modeling, 2021 Consider a survival time study, where a sequence of possibly censored failure times is observed with d-dimensional covariate The main goal of this article is to establish the asymptotic normality of the kernel estimator of the relative error regression ...
Bouhadjera Feriel, Saïd Elias Ould
doaj +1 more source
Large deviations for exchangeable observations with applications
International Journal of Mathematics and Mathematical Sciences, Volume 2004, Issue 55, Page 2947-2958, 2004., 2004 We first prove some large deviation results for a mixture of i.i.d. random variables. Compared with most of the known results in the literature, our results are built on relaxing some restrictive conditions that may not be easy to be checked in certain typical cases.
Jinwen Chen
wiley +1 more source
Journal of Causal Inference, 2023 There is a long-standing debate in the statistical, epidemiological, and econometric fields as to whether nonparametric estimation that uses machine learning in model fitting confers any meaningful advantage over simpler, parametric approaches in finite ...
Rudolph Kara E. +4 more
doaj +1 more source
International Journal of Stochastic Analysis, Volume 15, Issue 3, Page 207-219, 2002., 2002 In this paper we are concerned with the heteroscedastic regression model yi = xiβ + g(ti) + σiei, 1 ≤ i ≤ n under correlated errors ei, where it is assumed that σi2=f(ui), the design points (xi, ti, ui) are known and nonrandom, and g and f are unknown functions. The interest lies in the slope parameter β.
Han-Ying Liang, Bing-Yi Jing
wiley +1 more source
On the asymptotic covariance of the multivariate empirical copula process
Dependence Modeling, 2019 Genest and Segers (2010) gave conditions under which the empirical copula process associated with a random sample from a bivariate continuous distribution has a smaller asymptotic covariance than the standard empirical process based on a random sample ...
Genest Christian +2 more
doaj +1 more source
Nonparametric density estimators based on nonstationary absolutely regular random sequences
International Journal of Stochastic Analysis, Volume 9, Issue 3, Page 233-254, 1996., 1995 In this paper, the central limit theorems for the density estimator and for the integrated square error are proved for the case when the underlying sequence of random variables is nonstationary. Applications to Markov processes and ARMA processes are provided.
Michel Harel, Madan L. Puri
wiley +1 more source
A note on efficient minimum cost adjustment sets in causal graphical models
Journal of Causal Inference, 2022 We study the selection of adjustment sets for estimating the interventional mean under an individualized treatment rule. We assume a non-parametric causal graphical model with, possibly, hidden variables and at least one adjustment set composed of ...
Smucler Ezequiel, Rotnitzky Andrea
doaj +1 more source
A new simulation estimator of system reliability
International Journal of Stochastic Analysis, Volume 7, Issue 3, Page 331-336, 1994., 1993 A basic identity is proven and applied to obtain new simulation estimators concerning (a) system reliability, (b) a multi‐valued system. We show that the variance of this new estimator is often of the order α2 when the usual raw estimator has variance of the order α and α is small.
Sheldon M. Ross
wiley +1 more source