KLERC: kernel Lagrangian expectile regression calculator
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DOI: 10.1007/s00180-020-01003-0
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- Hunter D.R. & Lange K., 2004. "A Tutorial on MM Algorithms," The American Statistician, American Statistical Association, vol. 58, pages 30-37, February.
- Kremers, J.A.W.M. & Talman, A.J.J., 1994. "A new pivoting algorithm for the linear complementarity problem allowing for an arbitrary starting point," Other publications TiSEM 60832ee8-c5bc-457f-a320-4, Tilburg University, School of Economics and Management.
- Schnabel, Sabine K. & Eilers, Paul H.C., 2009. "Optimal expectile smoothing," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4168-4177, October.
- Farooq, Muhammad & Steinwart, Ingo, 2017. "An SVM-like approach for expectile regression," Computational Statistics & Data Analysis, Elsevier, vol. 109(C), pages 159-181.
- Sobotka, Fabian & Kneib, Thomas, 2012. "Geoadditive expectile regression," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 755-767.
- Newey, Whitney K & Powell, James L, 1987. "Asymmetric Least Squares Estimation and Testing," Econometrica, Econometric Society, vol. 55(4), pages 819-847, July.
- M. Seetharama Gowda & Jong-Shi Pang, 1992. "On Solution Stability of the Linear Complementarity Problem," Mathematics of Operations Research, INFORMS, vol. 17(1), pages 77-83, February.
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Keywords
Quadratic programming; Lagrangian dual function; Linear complementarity problem; Kernel function;All these keywords.
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