A general approach to constructing confidence intervals by subsampling was presented in
Politis and Romano (1994). The crux of the method is recomputing a statistic over …

In this chapter, a general theory for the construction of confidence intervals or regions is
presented. Much of what is presented is extracted from Politis and Romano (1992c, 1994b) …

Politis and Romano have put forth a general subsampling methodology for the construction
of large-sample confidence regions for a general unknown parameter θ associated with the …

In this article, a general theory for the construction of confidence intervals or regions in the
context of heteroskedastic-dependent data is presented. The basic idea is to approximate …

On the uniform asymptotic validity of subsampling and the bootstrap Page 1 The Annals of
Statistics 2012, Vol. 40, No. 6, 2798–2822 DOI: 10.1214/12-AOS1051 © Institute of …

Modern statistical analysis often involves large data sets, for which conventional estimation
methods are not suitable, owing to limited computational resources. To solve this problem …

In this article, the construction of confidence regions by approximating the sampling
distribution of some statistic is studied. The true sampling distribution is estimated by an …

We propose a subsampling method for estimating the asymptotic standard error of a statistic
β n that is the solution to an estimating equation 1/n Σn j= 1 Uj (Y j Xj, β)= 0 where the data Yj …

Subsampling and the m out of n bootstrap have been suggested in the literature as methods
for carrying out inference based on post-model selection estimators and shrinkage …

Regression estimators with subsampling of nonrespondents | Data quality control theory and
pragmatics skip to main content ACM Digital Library home ACM home Google, Inc. (search) …