Kernel estimation of discontinuous regression functions
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Cited by:
- Čížek, Pavel & Koo, Chao Hui, 2021.
"Jump-preserving varying-coefficient models for nonlinear time series,"
Econometrics and Statistics, Elsevier, vol. 19(C), pages 58-96.
- Cizek, Pavel & Koo, Chao, 2017. "Jump-Preserving Varying-Coefficient Models for Nonlinear Time Series," Discussion Paper 2017-017, Tilburg University, Center for Economic Research.
- Cizek, Pavel & Koo, Chao, 2017. "Jump-Preserving Varying-Coefficient Models for Nonlinear Time Series," Other publications TiSEM c849e96f-3ad1-461e-96c6-f, Tilburg University, School of Economics and Management.
- Youngseon Lee & Seongil Jo & Jaeyong Lee, 2022. "A variational inference for the Lévy adaptive regression with multiple kernels," Computational Statistics, Springer, vol. 37(5), pages 2493-2515, November.
- I. Sánchez-Borrego & M. Martínez-Miranda & A. González-Carmona, 2006. "Local linear kernel estimation of the discontinuous regression function," Computational Statistics, Springer, vol. 21(3), pages 557-569, December.
- Irène Gijbels & Alexandre Lambert & Peihua Qiu, 2007. "Jump-Preserving Regression and Smoothing using Local Linear Fitting: A Compromise," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 59(2), pages 235-272, June.
- Xiaodong Gong & Jiti Gao, 2015.
"Nonparametric Kernel Estimation of the Impact of Tax Policy on the Demand for Private Health Insurance in Australia,"
Monash Econometrics and Business Statistics Working Papers
6/15, Monash University, Department of Econometrics and Business Statistics.
- Xiaodong Gong & Jiti Gao, 2017. "Nonparametric kernel estimation of the impact of tax policy on the demand for private health insurance in Australia," Monash Econometrics and Business Statistics Working Papers 7/17, Monash University, Department of Econometrics and Business Statistics.
- Gong, Xiaodong & Gao, Jiti, 2015. "Nonparametric Kernel Estimation of the Impact of Tax Policy on the Demand for Private Health Insurance in Australia," IZA Discussion Papers 9265, Institute of Labor Economics (IZA).
- Kang, Yicheng & Shi, Yueyong & Jiao, Yuling & Li, Wendong & Xiang, Dongdong, 2021. "Fitting jump additive models," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
- Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
- Shujie Ma & Lijian Yang, 2011. "A jump-detecting procedure based on spline estimation," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 23(1), pages 67-81.
- Park, Cheol-Woo & Kim, Woo-Chul, 2004. "Estimation of a regression function with a sharp change point using boundary wavelets," Statistics & Probability Letters, Elsevier, vol. 66(4), pages 435-448, March.
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Keywords
Boundary kernel Change-points Jump location Jump size L2 convergence Rate of convergence Weak convergence;JEL classification:
- L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
Statistics
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