swMATH ID: 4586
Software Authors: Wand, M.P.; Jones, M.C.; Brian Ripley
Description: Kernel smoothing refers to a general methodology for recovery of the underlying structure in data sets without the imposition of a parametric model. The main goal of this book is to develop the reader’s intuition and mathematical skills required for a comprehensive understanding of kernel smoothing, and hence smoothing problems in general. To describe the principles, applications and analysis of kernel smoothers the authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression estimation. Special attention is given to the problem of choosing the smoothing parameter.par For the study of the book only a basic knowledge of statistics, calculus and matrix algebra is assumed. In its role as an introductory text this book does make some sacrifices. It does not completely cover the vast amount of research in the field of kernel smoothing. But the bibliographical notes at the end of each chapter provide a comprehensive, up-to-date reference for those readers which are more familiar with the topic.
Homepage: http://cran.r-project.org/web/packages/KernSmooth/
Source Code:  https://github.com/cran/KernSmooth
Dependencies: R (≥ 2.5.0), stats
Keywords: bandwidth selection; density estimation; multivariate kernel estimation; kernel smoothing; curve estimation; regression estimation
Related Software: R; pyuvdata; fda (R); SemiPar; SiZer; ks; UCI-ml; bootstrap; S-PLUS; sm; PRMLT; np; bootlib; ElemStatLearn; Matlab; ggplot2; MASS (R); rgl; wavethresh; ismev
Cited in: 1,035 Documents

Standard Articles

1 Publication describing the Software, including 1 Publication in zbMATH Year
Kernel smoothing. Zbl 0854.62043
Wand, M. P.; Jones, M. C.
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Cited by 1,644 Authors

29 Hall, Peter Gavin
20 Wand, Matthew P.
18 Jones, Michael Chris
17 Hazelton, Martin L.
12 Bouzebda, Salim
12 Kakizawa, Yoshihide
12 Marron, James Stephen
11 Fan, Jianqing
10 Chacón, José E.
10 Dette, Holger
10 Gijbels, Irène
9 Linton, Oliver Bruce
9 Nielsen, Jens Perch
8 Cheng, Ming-Yen
8 Delaigle, Aurore
8 Duong, Tarn
8 Geenens, Gery
8 Kulczycki, Piotr
8 Naito, Kanta
8 Turlach, Berwin A.
7 Horová, Ivana
7 Igarashi, Gaku
7 Opsomer, Jean-Didier
7 Tenreiro, Carlos
7 Zhang, Jinting
7 Zhang, Wenyang
6 Cao, Ricardo
6 Crujeiras, Rosa María
6 de Uña-Álvarez, Jacobo
6 Guillen, Montserrat
6 Holmström, Lasse
6 Li, Degui
6 Luati, Alessandra
6 Munk, Axel
6 Neumeyer, Natalie
6 Park, Byeong Uk
6 Polansky, Alan M.
6 Slaoui, Yousri
6 van Es, Bert
5 Bolancé, Catalina
5 Braun, W. John
5 Davies, Patrick Laurie
5 Francisco-Fernandez, Mario
5 González-Manteiga, Wenceslao
5 Gugushvili, Shota
5 Karunamuni, Rohana J.
5 Kim, Choongrak
5 Kokonendji, Célestin Clotaire
5 Samawi, Hani M.
5 Spreij, Peter
5 Vieu, Philippe
5 Wu, Ximing
4 Ahmad, Ibrahim A.
4 Baddeley, Adrian John
4 Beran, Jan
4 Bouezmarni, Taoufik
4 Bowman, Adrian W.
4 Chaudhuri, Probal
4 Davies, Tilman M.
4 Härdle, Wolfgang Karl
4 He, Hua
4 He, Yulin
4 Hino, Hideitsu
4 Hjort, Nils Lid
4 Huang, Li-Shan
4 Lebanon, Guy
4 Lee, Thomas C. M.
4 Murata, Noboru
4 Ormerod, John T.
4 Peng, Liang
4 Poskitt, Donald Stephen
4 Ruppert, David
4 Tsybakov, Alexandre B.
4 Vogel, Robert L.
4 Wang, Yong
4 Yang, Lijian
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4 Zhang, Riquan
4 Zhang, Xibin
4 Zhou, Yong
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3 Aerts, Marc
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3 Botev, Zdravko I.
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3 Datta, Somnath
3 Deng, Wen-Shuenn
3 Di Marzio, Marco
3 Didi, Sultana
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