Sélection d'histogrammes à l'aide d'un critère de type Akaike

DOI10.1016/S0764-4442(00)00250-0zbMath0969.62023OpenAlexW2010019107MaRDI QIDQ4489352

Gwenaëlle Castellan

Publication date: 11 July 2000

Published in: Comptes Rendus de l'Académie des Sciences - Series I - Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0764-4442(00)00250-0

zbMATH Keywords

histogram estimatorHellinger riskpenalized maximum likelihood selection

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items (12)

Optimal dyadic decision trees ⋮ Adaptive density estimation on bounded domains under mixing conditions ⋮ Histogram selection for possibly censored data ⋮ Estimator selection with respect to Hellinger-type risks ⋮ Combining regular and irregular histograms by penalized likelihood ⋮ A new algorithm for fixed design regression and denoising ⋮ Density estimation by the penalized combinatorial method ⋮ Adaptive density estimation: A curse of support? ⋮ Non-parametric adaptive estimation of order 1 Sobol indices in stochastic models, with an application to epidemiology ⋮ How many bins should be put in a regular histogram ⋮ Estimating the intensity of a random measure by histogram type estimators ⋮ Histogram selection in non Gaussian regression

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