Estimator selection: a new method with applications to kernel density estimation

18 July 2016

Papers citing "Estimator selection: a new method with applications to kernel density estimation"

12 / 12 papers shown

Title
Adaptive directional estimator of the density in R^d for independent and mixing sequences Sinda Ammous J. Dedecker Céline Duval 17 0 0 22 May 2023
Nonparametric Drift Estimation from Diffusions with Correlated Brownian Motions Fabienne Comte Nicolas Marie 32 4 0 24 Oct 2022
Minimax rate of estimation for invariant densities associated to continuous stochastic differential equations over anisotropic Holder classes Chiara Amorino A. Gloter 16 7 0 06 Oct 2021
Nadaraya-Watson Estimator for I.I.D. Paths of Diffusion Processes Nicolas Marie Amélie Rosier 21 21 0 14 May 2021
On the nonparametric inference of coefficients of self-exciting jump-diffusion Chiara Amorino Charlotte Dion A. Gloter Sarah Lemler 23 5 0 24 Nov 2020
Minimax adaptive estimation in manifold inference Vincent Divol 13 18 0 14 Jan 2020
Estimating the division rate from indirect measurements of single cells M. Doumic Adélaïde Olivier L. Robert 27 8 0 11 Jul 2019
Adaptive optimal kernel density estimation for directional data T. Ngoc 35 11 0 07 Aug 2018
Sparse Travel Time Estimation from Streaming Data Saif Eddin Jabari N. Freris D. Dilip 16 24 0 22 Apr 2018
Finite sample improvement of Akaike's Information Criterion Adrien Saumard F. Navarro 31 3 0 06 Mar 2018
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models Luc Lehéricy 31 10 0 26 Jun 2017
Data-driven calibration of penalties for least-squares regression Sylvain Arlot P. Massart 157 159 0 06 Feb 2008