Nonparametric, tuning‐free estimation of S‐shaped functions
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DOI: 10.1111/rssb.12481
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- Stout, Quentin F., 2008. "Unimodal regression via prefix isotonic regression," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 289-297, December.
- Daisuke Yagi & Yining Chen & Andrew L. Johnson & Timo Kuosmanen, 2020.
"Shape-Constrained Kernel-Weighted Least Squares: Estimating Production Functions for Chilean Manufacturing Industries,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 43-54, January.
- Yagi, Daisuke & Chen, Yining & Johnson, Andrew L. & Kuosmanen, Timo, 2018. "Shape constrained kernel-weighted least squares: Estimating production functions for Chilean manufacturing industries," LSE Research Online Documents on Economics 86556, London School of Economics and Political Science, LSE Library.
- Ginsberg, William, 1974. "The multiplant firm with increasing returns to scale," Journal of Economic Theory, Elsevier, vol. 9(3), pages 283-292, November.
- Promit Ghosal & Bodhisattva Sen, 2017. "On Univariate Convex Regression," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 215-253, August.
- Yining Chen & Richard J. Samworth, 2016. "Generalized additive and index models with shape constraints," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 729-754, September.
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