Constrained smoothing splines

Econometric Theory

Volumn 15, Issue 1, 1999, Pages 114-138

  Rodriguez Póo, Juan M ^a  

^a UNIVERSITY OF CANTABRIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 17944373003     PISSN: 02664666     EISSN: None     Source Type: Journal    
DOI: 10.1017/s0266466699151065     Document Type: Article

References (14)

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3. Burman, P. & P. Chaudhuri (1992) A Hybrid Approach to Parametric and Nonparametric Regression. Manuscript, Department of Statistics, University of California, Davis.
4. Cox, D.D. (1984) Gaussian Approximation of Smoothing Splines. Technical report 743, Department of Statistics, University of California-Berkeley.
5. Craven, P. & G. Wahba (1979) Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross validation. Numerical Mathematics 31, 377-403.
6. Eubank, R. (1988) Spline Smoothing and Nonparametric Regression. New York: Marcel Dekker.
7. Fan, J. & I. Gijbels (1996) Local Polynomial Modeling and Its Applications. New York: Chapman and Hall.
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10. Härdle, W. (1990) Applied Nonparametric Regression. New York: Cambridge University Press.
11. Heckman, N. (1986) Spline smoothing in a partly linear model. Journal of the Royal Statistical Society, Series B. 48, 244-248.
12. James, W. & C. Stein (1961) Estimation with quadratic loss. In J. Neyman (ed.), Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 361-379. Berkeley: University of California Press.
13. Kohn, R. & C.F. Ansley (1991) The performance of cross-validation and maximum likelihood estimators of spline smoothing parameters. Journal of the American Statistical Association 86, 1042-1050.
14. Wahba, G. (1990) Spline Models for Observational Data. CBMS-NSF Regional Conference Series in Applied Mathematics 59.