Degree selection methods for curve estimation via Bernstein polynomials
- 2 March 2024
- journal article
- research article
- Published by Springer Nature in Computational Statistics
- Vol. 40 (1) , 1-26
Abstract
No abstract availableKeywords
Funding Information
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
This publication has 18 references indexed in Scilit:
- A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced DataJournal of the American Statistical Association, 2018
- A Sieve Semiparametric Maximum Likelihood Approach for Regression Analysis of Bivariate Interval-Censored Failure Time DataJournal of the American Statistical Association, 2017
- Efficient and robust density estimation using Bernstein type polynomialsJournal of Nonparametric Statistics, 2016
- Shape restricted nonparametric regression with Bernstein polynomialsComputational Statistics & Data Analysis, 2012
- The Bernstein polynomial basis: A centennial retrospectiveComputer Aided Geometric Design, 2012
- A variable selection approach to monotonic regression with Bernstein polynomialsJournal of Applied Statistics, 2011
- Functional Data Analysis2005
- Application of Bernstein Polynomials for smooth estimation of a distribution and density functionJournal of Statistical Planning and Inference, 2002
- Shape preserving representations and optimality of the Bernstein basisAdvances in Computational Mathematics, 1993
- A Bernstein Polynomial Approach to Density Function Estimation1975