Degree selection methods for curve estimation via Bernstein polynomials
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00180-024-01473-6.pdf
Reference26 articles.
1. Babu GJ, Canty AJ, Chaubey YP (2002) Application of Bernstein polynomials for smooth estimation of a distribution and density function. J Stat Plan Inference 105(2):377–392
2. Bernstein SN (1912) Démonstration du théorème de Weiertrass fondée sur le calcul des probabilités. Kharkov Math Soc 13:1–2
3. Bertrand A, Keilegom IV, Legrand C (2019) Flexible parametric approach to classical measurement error variance estimation without auxiliary data. Biometrics 75(1):297–307
4. Brown BM, Chen SX (1999) Beta-Bernstein smoothing for regression curves with compact support. Scand J Stat 26(1):47–59
5. Carnicer JM, Peña JM (1993) Shape preserving representations and optimality of the Bernstein basis. Adv Comput Math 1(2):173–196
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