Uniform-in-bandwidth consistency for kernel-type estimators of Shannon’s entropy

JOURNAL ARTICLE published 1 January 2011 in Electronic Journal of Statistics

Authors: Salim Bouzebda | Issam Elhattab

Weighted uniform consistency of kernel density estimators with general bandwidth sequences

JOURNAL ARTICLE published 1 January 2006 in Electronic Journal of Probability

Authors: Julia Dony | Uwe Einmahl

Uniform in bandwidth consistency of kernel estimators of the density of mixed data

JOURNAL ARTICLE published 1 January 2015 in Electronic Journal of Statistics

Authors: David M. Mason | Jan W. H. Swanepoel

Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions

JOURNAL ARTICLE published 1 January 2018 in Electronic Journal of Statistics

Authors: Charles R. Doss | Guangwei Weng

Large and moderate deviations for kernel–type estimators of the mean density of Boolean models

JOURNAL ARTICLE published 1 January 2018 in Electronic Journal of Statistics

Authors: Federico Camerlenghi | Elena Villa

Concentration Inequalities for Kernel Density Estimators Under Uniform Mixing

JOURNAL ARTICLE published in SSRN Electronic Journal

Authors: Stelios Arvanitis

Uniform Convergence Rates of Kernel Estimators with Heterogenous, Dependent Data

JOURNAL ARTICLE published in SSRN Electronic Journal

Authors: Dennis Kristensen

Uniform limit laws of the logarithm for estimators of the additive regression function in the presence of right censored data

JOURNAL ARTICLE published 1 January 2008 in Electronic Journal of Statistics

Authors: Mohammed Debbarh | Vivian Viallon

Functional kernel estimators of large conditional quantiles

JOURNAL ARTICLE published 1 January 2012 in Electronic Journal of Statistics

Authors: Laurent Gardes | Stéphane Girard

Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series

JOURNAL ARTICLE published in SSRN Electronic Journal

Authors: Jiti Gao | Degui Li | Dag Tjøstheim

Consistency and asymptotic normality of Latent Block Model estimators

JOURNAL ARTICLE published 1 January 2020 in Electronic Journal of Statistics

Authors: Vincent Brault | Christine Keribin | Mahendra Mariadassou

On model selection consistency of regularized M-estimators

JOURNAL ARTICLE published 1 January 2015 in Electronic Journal of Statistics

Authors: Jason D. Lee | Yuekai Sun | Jonathan E. Taylor

Consistency and asymptotic normality of stochastic block models estimators from sampled data

JOURNAL ARTICLE published 1 January 2020 in Electronic Journal of Statistics

Authors: Mahendra Mariadassou | Timothée Tabouy

A uniform central limit theorem and efficiency for deconvolution estimators

JOURNAL ARTICLE published 1 January 2012 in Electronic Journal of Statistics

Authors: Jakob Söhl | Mathias Trabs

Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model

JOURNAL ARTICLE published 1 January 2019 in Electronic Journal of Statistics

Authors: Léa Longepierre | Catherine Matias

Consistency of maximum-likelihood and variational estimators in the stochastic block model

JOURNAL ARTICLE published 1 January 2012 in Electronic Journal of Statistics

Authors: Alain Celisse | Jean-Jacques Daudin | Laurent Pierre

On consistency of the least squares estimators in linear errors-in-variables models with infinite variance errors

JOURNAL ARTICLE published 1 January 2013 in Electronic Journal of Statistics

Authors: Yuliya V. Martsynyuk

Exact risk improvement of bandwidth selectors for kernel density estimation with directional data

JOURNAL ARTICLE published 1 January 2013 in Electronic Journal of Statistics

Authors: Eduardo García–Portugués

Concentration study of M-estimators using the influence function

JOURNAL ARTICLE published 1 January 2022 in Electronic Journal of Statistics

Authors: Timothée Mathieu

On consistency of least square estimators in the simple linear EV model with negatively orthant dependent errors

JOURNAL ARTICLE published 1 January 2017 in Electronic Journal of Statistics

Authors: Xuejun Wang | Shuhe Hu