Functional delta-method for the bootstrap of quasi-Hadamard differentiable functionals
DOI10.1214/16-EJS1140zbMath1338.62073arXiv1510.06207OpenAlexW2963848559MaRDI QIDQ286218
Publication date: 20 May 2016
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1510.06207
bootstrapfunctional delta-methodquasi-Hadamard differentiabilitystatistical functionalweak convergence for the open-ball \(\sigma\)-algebra
Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Order statistics; empirical distribution functions (62G30)
Related Items (8)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Deriving the asymptotic distribution of \(U\)- and \(V\)-statistics of dependent data using weighted empirical processes
- A modified functional delta method and its application to the estimation of risk functionals
- Stationarity and geometric ergodicity of BEKK multivariate GARCH models
- Asymptotics for statistical functionals of long-memory sequences
- Dependent multiplier bootstraps for non-degenerate \(U\)-statistics under mixing conditions with applications
- Bootstrapping general empirical measures
- Central limit theorem and the bootstrap for \(U\)-statistics of strongly mixing data
- The bootstrap: Some large sample theory and connections with robustness
- Some asymptotic theory for the bootstrap
- On the bootstrap of \(U\) and \(V\) statistics
- Bootstrap methods: another look at the jackknife
- Comonotonicity, correlation order and premium principles
- Central limit theorems for empirical and \(U\)-processes of stationary mixing sequences
- Weighted bootstrapping of \(U\)-statistics
- Non-additive measure and integral
- Validity of blockwise bootstrap for empirical processes with stationary observations
- Blockwise bootstrapped empirical process for stationary sequences
- Differentiable functionals and smoothed bootstrap
- The bootstrap for empirical processes based on stationary observations
- Resampling methods for dependent data
- The jackknife and the bootstrap for general stationary observations
- The jackknife and bootstrap
- The blockwise bootstrap for general empirical processes of stationary sequences
- Weak convergence and empirical processes. With applications to statistics
- Weak convergence of the weighted sequential empirical process of some long-range dependent data
- Quasi-Hadamard differentiability of general risk functionals and its application
- A general approach to the joint asymptotic analysis of statistics from sub-samples
- Continuous mapping approach to the asymptotics of \(U\)- and \(V\)-statistics
- Introduction to empirical processes and semiparametric inference
- Measures on non-separable metric spaces
- Weak convergence of probabilities on nonseparable metric spaces and empirical measures on Euclidean spaces
- Uniform Central Limit Theorems
- Real Analysis and Probability
- Large Sample Behavior of the CTE and VaR Estimators under Importance Sampling
- Dependent Wild Bootstrap for the Empirical Process
- The Dependent Wild Bootstrap
- Statistical Inference for Expectile‐based Risk Measures
- Probability theory. A comprehensive course
- Convergence of stochastic processes
This page was built for publication: Functional delta-method for the bootstrap of quasi-Hadamard differentiable functionals