Local Optimal Gaussian Approximation of an Exponential Family
Nonparametric Estimation in Case of Endogenous Selection
Estimating a smooth monotone regression function
On Qualitative Smoothness of Kernel Density Estimates
Nonparametric Estimation of an Additive Model with a Link Function
Empirical Process of Residuals for High Dimensional Linear Models
When Does Bootstrap Work?
Nonparametric regression under qualitative smoothness assumptions
A short note on optimal bandwidth selection for kernel estimators
Some Asymptotics for Multimodality Tests Based on Kernel Density Estimates
On the relation between asymptotic normality and consistency of bootstrap
Behaviour of kernel density estimates and bandwidth selectors for contaminated data sets
Text Mining Methods for Measuring the Coherence of Party Manifestos for the German Federal Elections from 1990 to 2021
Higher order accuracy of bootstrap for smooth functionals
Nonparametric Curve Estimation and Simple Curve Characteristics
Estimation in an Additive Model when the Components are Linked Parametrically
Bootstrap Methods in Nonparametric Regression
Local Limit Theorems for Transition Densities of Markov ChainsConverging to Diffusions
A General Framework for Constrained Smoothing
The Increase of Information Due to Additional Observations in the Case of Asymptotically Gaussian Experiments