Nearest neighbor empirical processes
From MaRDI portal
Publication:6632607
DOI10.3150/24-BEJ1729MaRDI QIDQ6632607
Publication date: 5 November 2024
Published in: Bernoulli (Search for Journal in Brave)
Could not fetch data.
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Classification in general finite dimensional spaces with the \(k\)-nearest neighbor rule
- U-processes: Rates of convergence
- Lectures on the nearest neighbor method
- An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation
- Conditional empirical processes
- Asymptotics of conditional empirical processes
- Robust nonparametric regression with simultaneous scale curve estimation
- Strong uniform consistency rates for estimators of conditional functionals
- Some special Vapnik-Chervonenkis classes
- Consistency of a recursive nearest neighbor regression function estimate
- Sums of functions of nearest neighbor distances, moment bounds, limit theorems and a goodness of fit test
- Consistent nonparametric regression. Discussion
- The strong uniform consistency of nearest neighbor density estimates
- Uniform consistency of the kernel conditional Kaplan-Meier estimate
- A Bennett concentration inequality and its application to suprema of empirical processes
- A nearest neighbor estimate of the residual variance
- On the strong universal consistency of nearest neighbor regression function estimates
- Optimal global rates of convergence for nonparametric regression
- A distribution-free theory of nonparametric regression
- Rates of strong uniform consistency for multivariate kernel density estimators. (Vitesse de convergence uniforme presque sûre pour des estimateurs à noyaux de densités multivariées)
- Weak convergence and empirical processes. With applications to statistics
- Local nearest neighbour classification with applications to semi-supervised learning
- The sizes of compact subsets of Hilbert space and continuity of Gaussian processes
- Local Rademacher complexities
- Risk bounds when learning infinitely many response functions by ordinary linear regression
- Estimation of a Conditional Copula and Association Measures
- Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
- Theory of Classification: a Survey of Some Recent Advances
- UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA
- The rate of convergence of<tex>k_n</tex>-NN regression estimates and classification rules (Corresp.)
- Local Properties of k-NN Regression Estimates
- The uniform convergence of nearest neighbor regression function estimators and their application in optimization
- On the measure of Voronoi cells
- Empirical processes indexed by estimated functions
- Nearest neighbor pattern classification
- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
- An empirical process approach to the uniform consistency of kernel-type function estimators
- On consistency of kernel density estimators for randomly censored data: Rates holding uniformly over adaptive intervals
- New concentration inequalities in product spaces
- On nearest-neighbor Gaussian process models for massive spatial data
This page was built for publication: Nearest neighbor empirical processes
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6632607)