On internally corrected and symmetrized kernel estimators for nonparametric regression
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DOI: 10.1007/s11749-009-0145-y
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References listed on IDEAS
- Pagan,Adrian & Ullah,Aman, 1999.
"Nonparametric Econometrics,"
Cambridge Books,
Cambridge University Press, number 9780521355643, September.
- Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521586115, September.
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Cited by:
- Qian, Junhui & Wang, Le, 2012.
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- Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
- Yuliana Linke & Igor Borisov & Pavel Ruzankin & Vladimir Kutsenko & Elena Yarovaya & Svetlana Shalnova, 2024. "Multivariate Universal Local Linear Kernel Estimators in Nonparametric Regression: Uniform Consistency," Mathematics, MDPI, vol. 12(12), pages 1-23, June.
- Yuliana Linke & Igor Borisov & Pavel Ruzankin & Vladimir Kutsenko & Elena Yarovaya & Svetlana Shalnova, 2022. "Universal Local Linear Kernel Estimators in Nonparametric Regression," Mathematics, MDPI, vol. 10(15), pages 1-28, July.
- Shen, Jia & Xie, Yuan, 2013. "Strong consistency of the internal estimator of nonparametric regression with dependent data," Statistics & Probability Letters, Elsevier, vol. 83(8), pages 1915-1925.
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More about this item
Keywords
Multivariate regression; Smoothing matrix; Symmetry; 62G08; 62G20;All these keywords.
JEL classification:
Statistics
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