Bandwidth selection for smooth backfitting in additive models

The Annals of Statistics ◽

10.1214/009053605000000101 ◽

2005 ◽

Vol 33 (3) ◽

pp. 1260-1294 ◽

Author(s):

Enno Mammen ◽

Byeong U. Park

Keyword(s):

Bandwidth Selection ◽

Additive Models ◽

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Bandwidth selection for backfitting estimation of semiparametric additive models: A simulation study

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2013.01.010 ◽

2013 ◽

Vol 62 ◽

pp. 136-148 ◽

Author(s):

Jenny Häggström

Keyword(s):

Simulation Study ◽

Bandwidth Selection ◽

Additive Models ◽

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Data-driven local bandwidth selection for additive models with missing data

Applied Mathematics and Computation ◽

10.1016/j.amc.2011.05.040 ◽

2011 ◽

Vol 217 (24) ◽

pp. 10328-10342 ◽

Author(s):

R. Raya-Miranda ◽

M.D. Martínez-Miranda

Keyword(s):

Missing Data ◽

Bandwidth Selection ◽

Additive Models ◽

Data Driven ◽

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Bandwidth selection for kernel density estimation using Fourier domain constraints

IET Signal Processing ◽

10.1049/iet-spr.2015.0076 ◽

2016 ◽

Vol 10 (3) ◽

pp. 280-283

Author(s):

Alexander Suhre ◽

Orhan Arikan ◽

Ahmed Enis Cetin

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Bandwidth Selection ◽

Kernel Density ◽

Fourier Domain ◽

Selection For ◽

Domain Constraints

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On Adaptive Bandwidth Selection for Efficient MIA

Constructive Side-Channel Analysis and Secure Design - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10175-0_7 ◽

2014 ◽

pp. 82-97 ◽

Author(s):

Mathieu Carbone ◽

Sébastien Tiran ◽

Sébastien Ordas ◽

Michel Agoyan ◽

Yannick Teglia ◽

...

Keyword(s):

Bandwidth Selection ◽

Selection For ◽

Adaptive Bandwidth ◽

Adaptive Bandwidth Selection

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Local Bandwidth Selection for Density Estimation

Computing Science and Statistics ◽

10.1007/978-1-4612-2856-1_14 ◽

1992 ◽

pp. 111-116 ◽

Author(s):

Lori A. Thombs ◽

Simon J. Sheather

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

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Asymptotically Optimal Bandwidth Selection for Kernel Density Estimators from Randomly Right-Censored Samples.

10.21236/ada168941 ◽

1986 ◽

Author(s):

J. S. Marron ◽

W. J. Padgett

Keyword(s):

Bandwidth Selection ◽

Kernel Density ◽

Asymptotically Optimal ◽

Optimal Bandwidth ◽

Kernel Density Estimators ◽

Censored Samples ◽

Selection For ◽

Density Estimators

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Finite sample performance of kernel-based regression methods for non-parametric additive models under common bandwidth selection criterion

Journal of Nonparametric Statistics ◽

10.1080/10485250701297933 ◽

2007 ◽

Vol 19 (1) ◽

pp. 23-62 ◽

Author(s):

Carlos Martins-Filho ◽

Ke Yang

Keyword(s):

Bandwidth Selection ◽

Selection Criterion ◽

Additive Models ◽

Finite Sample ◽

Regression Methods ◽

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Bandwidth selection for a data sharpening estimator in nonparametric regression

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2008.12.016 ◽

2009 ◽

Vol 100 (7) ◽

pp. 1465-1486 ◽

Author(s):

Kanta Naito ◽

Masahiro Yoshizaki

Keyword(s):

Nonparametric Regression ◽

Bandwidth Selection ◽

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Optimal bandwidth selection for a kernel density with a location-scale property

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2020.1804586 ◽

2020 ◽

pp. 1-14

Author(s):

Celal Aydın ◽

Necla Gündüz ◽

Jale Balibeyoğlu

Keyword(s):

Bandwidth Selection ◽

Kernel Density ◽

Optimal Bandwidth ◽

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Bandwidth selection for local linear regression: A simulation study

Computational Statistics ◽

10.1007/s001800050029 ◽

1999 ◽

Vol 14 (4) ◽

pp. 515-532 ◽

Author(s):

Thomas C. M. Lee ◽

Victor Solo

Keyword(s):

Linear Regression ◽

Simulation Study ◽

Bandwidth Selection ◽

Local Linear Regression ◽

Local Linear ◽

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