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Localized model selection for regression
Yang, Yuhong - In: Econometric theory 24 (2008) 2, pp. 472-492
Persistent link: https://www.econbiz.de/10003894209
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Minimizing average risk in regression models
Claeskens, Gerda; Hjort, Nils Lid - In: Econometric theory 24 (2008) 2, pp. 493-527
Persistent link: https://www.econbiz.de/10003894211
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Focused information criteria and model averaging for the Cox hazard regression model
Hjort, Nils Lid; Claeskens, Gerda - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 1449-1464
Persistent link: https://www.econbiz.de/10003406649
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Consistent and non-degenerate model specification tests against smooth transition and neural network alternatives
Hill, Jonathan B. - In: Annales d'économie et de statistique 90 (2008), pp. 145-179
Persistent link: https://www.econbiz.de/10003910527
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Geographically weighted regression bandwidth selection and spatial autocorrelation : an empirical example using Chinese agriculture data
Cho, Seong-hoon; Lambert, Dayton M.; Chen, Zhuo - In: Applied economics letters 17 (2010) 7/9, pp. 767-772
Persistent link: https://www.econbiz.de/10003996711
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Specification tests of parametric dynamic conditional quantiles
Escanciano, Juan Carlos; Velasco, Carlos - In: Journal of econometrics 159 (2010) 1, pp. 209-221
Persistent link: https://www.econbiz.de/10008839927
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Mis-specification in Phillips Curve regressions : quantifying frequency eependence in this relationship while allowing for feedback
Ashley, Richard A. (contributor);  … - 2006
Persistent link: https://www.econbiz.de/10003617329
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Meta-modeling by symbolic regression and parteo simulated annealing
Stinstra, Erwin (contributor); Rennen, Gijs (contributor);  … - 2006
Persistent link: https://www.econbiz.de/10003303491
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Dealing with endogeneity in regression models with dynamic coefficients
Kim, Chang-jin (contributor) - 2010
Persistent link: https://www.econbiz.de/10008656405
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Inference on treatment effects after selection amongst high-dimensional controls
Belloni, Alexandre; Chernozhukov, Victor; Hansen, … - 2012
We propose robust methods for inference on the effect of a treatment variable on a scalar outcome in the presence of very many controls. Our setting is a partially linear model with possibly non-Gaussian and heteroscedastic disturbances where the number of controls may be much larger than the...
Persistent link: https://www.econbiz.de/10009548244