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  • Search: subject:"Kernel regression estimation"
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Year of publication
Subject
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Bandwidth Selection 3 Cross Validation 3 Kernel regression estimation 3 Plug-in 3 Estimation theory 1 Regression analysis 1 Regressionsanalyse 1 Schätztheorie 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3
Author
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Köhler, Max 3 Schindler, Anja 3 Sperlich, Stefan 3
Institution
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Courant Research Centre PEG 1
Published in...
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Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 1 Discussion Papers 1 Discussion papers / Courant Research Centre "Poverty, Equity and Growth in Developing and Transition Countries: Statistical Methods and Empirical Analysis" 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
Cover Image
A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
Köhler, Max; Schindler, Anja; Sperlich, Stefan - 2011
Over the last four decades, several methods for selecting the smoothing parameter, generally called the bandwidth, have been introduced in kernel regression. They differ quite a bit, and although there already exist more selection methods than for any other regression smoother we can still see...
Persistent link: https://www.econbiz.de/10010329908
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Cover Image
A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
Köhler, Max; Schindler, Anja; Sperlich, Stefan - Courant Research Centre PEG - 2011
Over the last four decades, several methods for selecting the smoothing parameter, generally called the bandwidth, have been introduced in kernel regression. They differ quite a bit, and although there already exist more selection methods than for any other regression smoother we can still see...
Persistent link: https://www.econbiz.de/10009293342
Saved in:
Cover Image
A review and comparison of bandwidth selection methods for kernel regression
Köhler, Max; Schindler, Anja; Sperlich, Stefan - 2011
Over the last four decades, several methods for selecting the smoothing parameter, generally called the bandwidth, have been introduced in kernel regression. They differ quite a bit, and although there already exist more selection methods than for any other regression smoother we can still see...
Persistent link: https://www.econbiz.de/10010349165
Saved in:
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