Segmented concave least squares: a nonparametric piecewise linear regression
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Publication:1754121
DOI10.1016/j.ejor.2017.10.006zbMath1403.90546OpenAlexW2765263419MaRDI QIDQ1754121
Publication date: 30 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2017.10.006
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Applications of mathematical programming (90C90) Quadratic programming (90C20)
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Cites Work
- Nonparametric least squares estimation of a multivariate convex regression function
- Consistency in concave regression
- The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators. With comments by Ronald A. Thisted and M. R. Osborne and a rejoinder by the authors
- A penalized method for multivariate concave least squares with application to productivity analysis
- Estimation of a convex function: Characterizations and asymptotic theory.
- Stochastic non-convex envelopment of data: applying isotonic regression to frontier estimation
- Solving cardinality constrained mean-variance portfolio problems via MILP
- A more efficient algorithm for convex nonparametric least squares
- Representation theorem for convex nonparametric least squares
- Estimating a Convex Function in Nonparametric Regression
- Efficiency Estimation of Production Functions
- Point Estimates of Ordinates of Concave Functions
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