On the boundary properties of Bernstein polynomial estimators of density and distribution functions

By Alexandre Leblanc. 2012

58 citations recorded by the source corpus.

Subfields: Cell Biology, Computational Mechanics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/79c573a193430a9560fb78a2e6cf50db9fb7e19a

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In Cell Biology

1. Gery Geenens

In Computational Mechanics

1. Gery Geenens

In Statistical and Nonlinear Physics

1. Gery Geenens

Citations in the corpus

• Flexible semiparametric generalized Pareto modeling of the entire range of rainfall amount (2019, unknown): “Finding m corresponds to resolving a bias-variance tradeoff (see e.g. , Vitale, 1975; Leblanc, 2012b).”
• Probit Transformation for Kernel Density Estimation on the Unit Interval (2013, methodology): “d Karunamuni (2010). As beta-kernel estimators are directly related to Bernstein polynomial smoothing, relevant information can also be found in Brown and Chen (1999), Bouezmarni and Rolin (2007) and Leblanc (2012). Jones and Henderson (2007a,b) derived similar theoretical properties for their Gauss”