Pages that link to "Item:Q929370"

The following pages link to Uniform central limit theorems for kernel density estimators (Q929370):

Displaying 40 items.

• A general result on the uniform in bandwidth consistency of kernel-type function estimators (Q261466) (← links)
• On the optimal estimation of probability measures in weak and strong topologies (Q282569) (← links)
• On the weak convergence of the kernel density estimator in the uniform topology (Q287798) (← links)
• Nonparametric Bernstein-von Mises theorems in Gaussian white noise (Q385781) (← links)
• Uniform central limit theorems for the Grenander estimator (Q491404) (← links)
• Maximum likelihood estimation of a log-concave density and its distribution function: basic properties and uniform consistency (Q605846) (← links)
• Uniform in bandwidth exact rates for a class of kernel estimators (Q652606) (← links)
• Uniform bounds for norms of sums of independent random functions (Q653305) (← links)
• Efficient nonparametric inference for discretely observed compound Poisson processes (Q681527) (← links)
• Uniform limit theorems for wavelet density estimators (Q838011) (← links)
• Information bounds for inverse problems with application to deconvolution and Lévy models (Q902884) (← links)
• Uniform central limit theorems for kernel density estimators (Q929370) (← links)
• A simple adaptive estimator of the integrated square of a density (Q1002574) (← links)
• On convergence and convolutions of random signed measures (Q1014058) (← links)
• An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation (Q1017888) (← links)
• Adaptation on the space of finite signed measures (Q1019532) (← links)
• Central limit theorems for \(L_ p\) distances of kernel estimators of densities under random censorship (Q1184207) (← links)
• Central limit theorem for the variable bandwidth kernel density estimators (Q1747099) (← links)
• A Donsker theorem for Lévy measures (Q1762342) (← links)
• Uniformity in \(h\) in the functional limit law for the increments of the empirical process indexed by functions (Q1776845) (← links)
• A uniform central limit theorem and efficiency for deconvolution estimators (Q1950913) (← links)
• Donsker results for the empirical process indexed by functions of locally bounded variation and applications to the smoothed empirical process (Q2108477) (← links)
• Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions (Q2196225) (← links)
• Rademacher complexity for Markov chains: applications to kernel smoothing and Metropolis-Hastings (Q2325397) (← links)
• Efficient simulation-based minimum distance estimation and indirect inference (Q2437988) (← links)
• Central limit theorem for asymmetric kernel functionals (Q2501350) (← links)
• High-frequency Donsker theorems for Lévy measures (Q2634896) (← links)
• Uniform central limit theorems for sieved maximum likelihood and trigonometric series estimators on the unit circle (Q2900966) (← links)
• Impossibility of weak convergence of kernel density estimators to a non-degenerate law in<i>L</i>₂(ℝ^<i>d</i>) (Q3021180) (← links)
• Global sensitivity analysis for repeated measures studies with informative drop-out: A semi-parametric approach (Q3119826) (← links)
• (Q3201164) (← links)
• Estimating linear functionals in Poisson mixture models (Q3391787) (← links)
• (Q3732733) (← links)
• Bias Reduction in Sample-Based Optimization (Q5026842) (← links)
• Nonparametric estimation of the conditional survival function with double smoothing (Q5051341) (← links)
• AVERAGE DENSITY ESTIMATORS: EFFICIENCY AND BOOTSTRAP CONSISTENCY (Q5059132) (← links)
• ON THE CONVERGENCE RATE OF POTENTIALS OF BRENIER MAPS (Q5071690) (← links)
• On semiparametric inference for periodically modulated density functions (Q6067502) (← links)
• Uniform confidence band for optimal transport map on one-dimensional data (Q6200887) (← links)
• A uniform kernel trick for high and infinite-dimensional two-sample problems (Q6536702) (← links)