Recursive kernel density estimators under missing data

DOI10.1080/03610926.2016.1205618zbMath1377.62109arXiv1606.06988OpenAlexW2964081705WikidataQ57519943 ScholiaQ57519943MaRDI QIDQ4588899

Yousri Slaoui

Publication date: 3 November 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1606.06988

zbMATH Keywords

smoothingcurve fittingdensity estimationmissing datastochastic approximation algorithm

Mathematics Subject Classification ID

Density estimation (62G07) Numerical smoothing, curve fitting (65D10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Stochastic approximation (62L20)

Related Items (2)

Nonparametric relative recursive regression ⋮ Nonparametric relative recursive regression estimators for censored data

This page was built for publication: Recursive kernel density estimators under missing data