Nonparametric density deconvolution by weighted kernel estimators

Martin L. Hazelton, Berwin A. Turlach

Type: Article

Publication Date: 2008-07-30

Citations: 18

DOI: https://doi.org/10.1007/s11222-008-9086-7

View Publication

Download PDF

Locations

CiteSeer X (The Pennsylvania State University) - View - PDF
UWA Profiles and Research Repository (UWA) - View - PDF
UWA Profiles and Research Repository (University of Western Australia) - View - PDF
Statistics and Computing - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	A note on nonparametric density deconvolution by weighted kernel estimators	2014	Sungho Lee
+	Deconvolution Kernel Density Estimation	2021	Aurore Delaigle
+	Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem	2013	Aurore Delaigle Peter Hall
+	On the effect of estimating the error density in nonparametric deconvolution	1997	Michael H. Neumann Ola Hössjer
+	Deconvolution density estimation with penalised MLE	2021	Yun Cai Hong Gu Toby Kenney
+	Penalty Parameter Selection in Deconvolution by Estimating the Risk for a Smaller Sample Size	2024	David Kent
+	Deconvolution in Nonparametric Statistics	2012	Kris De Brabanter Bart De Moor
+	Robust kernel density estimation	2012	JooSeuk Kim Clayton Scott
+	Robust Kernel Density Estimation	2011	JooSeuk Kim Clayton Scott
+ PDF Chat	A Support Vector Method for the Deconvolution Problem	2010	Sung-Ho Lee
+ PDF Chat	Robust kernel density estimation	2008	JooSeuk Kim Clayton Scott
+	A Data-Driven Wavelet Estimator For Deconvolution Density Estimations	2023	Kaikai Cao Xiaochen Zeng
+	Kernel methods and minimum contrast estimators for empirical deconvolution	2010	Aurore Delaigle Peter Hall
+	Kernel methods and minimum contrast estimators for empirical deconvolution	2010	Aurore Delaigle Peter Hall
+	Density estimation and nonparametric inferences using maximum likelihood weighted kernels	2013	Alan Huang
+	An alternative view of the deconvolution problem	2008	Aurore Delaigle
+ PDF Chat	On the performance of weighted bootstrapped kernel deconvolution density estimators	2018	Ali Al-Sharadqah Majid Mojirsheibani William Pouliot
+	Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space	2014	Robert A. Vandermeulen Clayton Scott
+	Data-driven deconvolution	1999	Christian Hesse
+	On the Robustness of Kernel Density M-Estimators	2011	JooSeuk Kim Clayton Scott

Works That Cite This (11)

Action	Title	Year	Authors
+	Robust errors-in-variables linear regression via Laplace distribution	2013	Jianhong Shi Kun Chen Weixing Song
+ PDF Chat	Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates	2023	Arkaprava Roy Abhra Sarkar
+ PDF Chat	Anisotropic multivariate deconvolution using projection on the Laguerre basis	2021	Florian Dussap
+ PDF Chat	Densities mixture unfolding for data obtained from detectors with finite resolution and limited acceptance	2015	Nikolay D. Gagunashvili
+	Right-censored nonparametric regression with measurement error	2024	Dursun Aydın Ersin Yılmaz Nur Chamidah Budi Lestari I Nyoman Budiantara
+ PDF Chat	Bayesian Semiparametric Multivariate Density Deconvolution	2017	Abhra Sarkar Debdeep Pati Antik Chakraborty Bani K. Mallick Raymond J. Carroll
+ PDF Chat	A note on nonparametric density deconvolution by weighted kernel estimators	2014	Sungho Lee
+	Quadratic programming	2015	Berwin A. Turlach Stephen J. Wright
+	Semiparametric Density Deconvolution	2009	Martin L. Hazelton Berwin A. Turlach
+ PDF Chat	Density Deconvolution With Additive Measurement Errors Using Quadratic Programming	2019	Ran Yang Daniel W. Apley Jeremy Staum David Ruppert

Works Cited by This (35)

Action	Title	Year	Authors
+ PDF Chat	Global behavior of deconvolution kernel estimates	1991	Jianqing Fan
+	A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation	1991	Simon J. Sheather M. C. Jones
+	Adaptive wavelet estimator for nonparametric density deconvolution	1999	Marianna Pensky Brani Vidaković
+ PDF Chat	Deconvolution with supersmooth distributions	1992	Jianqing Fan
+	Deconvolving kernel density estimators	1990	Leonard A. Stefanski Raymond J. Carroll
+	A simple bias reduction method for density estimation	1995	M. C. Jones Oliver B. Linton Jens Perch Nielsen
+	New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds	2005	Yu‐Hong Dai R. Fletcher
+	B-Spline deconvolution based on the Em algorithm	1996	Ja‐Yong Koo Byeong U. Park
+	Asymptotic Normality of Kernel-Type Deconvolution Estimators	2005	Bert van Es Hae‐Won Uh
+	Bootstrap bandwidth selection in kernel density estimation from a contaminated sample	2004	Aurore Delaigle Irène Gijbels