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  • Search: subject:"Data driven bandwidth selection"
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Year of publication
Subject
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data-driven bandwidth selection 2 Cross-validation 1 Data driven bandwidth selection 1 Density estimation 1 Kernel estimators 1 Plug-in method 1 assessment of conditional bias and variance 1 asymptotic normality 1 local polynomial fitting 1 motion-picture industry 1 nonparametric regression 1 relative error 1 varying-coefficient models 1
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Online availability
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Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Language
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Undetermined 3
Author
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Lee, Sik-Yum 1 Marron, J.S. 1 Park, Byeong 1 Walls, W. D. 1 Zhang, Wenyang 1
Institution
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Department of Economics, University of Calgary 1 University of Bonn, Germany 1
Published in...
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Discussion Paper Serie A 1 Journal of Multivariate Analysis 1 Working Papers / Department of Economics, University of Calgary 1
Source
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RePEc 3
Showing 1 - 3 of 3
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Robust analysis of film earnings
Walls, W. D. - Department of Economics, University of Calgary - 2009
This article applies recently developed nonparametric kernel regression estimation methods to quantify the conditional distribution of motion picture earnings. The nonparametric, data-driven approach allows the full range of relations among variables to be captured, including nonlinearities that...
Persistent link: https://www.econbiz.de/10010930495
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Variable Bandwidth Selection in Varying-Coefficient Models
Zhang, Wenyang; Lee, Sik-Yum - In: Journal of Multivariate Analysis 74 (2000) 1, pp. 116-134
The varying-coefficient model is an attractive alternative to the additive and other models. One important method in estimating the coefficient functions in this model is the local polynomial fitting approach. In this approach, the choice of bandwidth is crucial. If the unknown curve is spatial...
Persistent link: https://www.econbiz.de/10005093730
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Comparision of data-driven bandwidth selectors
Park, Byeong; Marron, J.S. - University of Bonn, Germany - 1988
Persistent link: https://www.econbiz.de/10005028244
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