Asymptotic minimaxity of False Discovery Rate thresholding for sparse exponential data

Asymptotic near-efficiency of the "Gibbs-energy and empirical-variance" estimating functions for fitting Matern models to a dense (noisy) series

Asymptotic normality and consistency of a two-stage generalized least squares estimator in the growth curve model

Asymptotic normality and valid inference for Gaussian variational approximation

Asymptotic normality for deconvolution kernel density estimators from random fields

Asymptotic normality for estimators of the additive regression components under random censorship

Asymptotic normality of a nonparametric estimator of sample coverage

Asymptotic normality of extreme value estimators on $C[0,1]$

Asymptotic normality of Hill Estimator for truncated data

Asymptotic normality of kernel estimates in a regression model for random fields

Asymptotic normality of kernel type deconvolution estimators

Asymptotic normality of maximum likelihood estimator for cooperative sequential adsorption

Asymptotic normality of the $L_k$-error of the Grenander estimator

Asymptotic Normality of the Additive Regression Components for Continuous Time Processes

Asymptotic normality of the deconvolution kernel density estimator under the vanishing error variance

Asymptotic normality of the mixture density estimator in a disaggregation scheme

Asymptotic normality of the Parzen-Rosenblatt density estimator for strongly mixing random fields

Asymptotic normality of the Quasi Maximum Likelihood Estimator for multidimensional causal processes

Asymptotic normality of wavelet estimators of the memory parameter for linear processes

Asymptotic operating characteristics of an optimal change point detection in hidden Markov models