Normalité asymptotique d'estimateurs de maximum de vraisemblance pour modèles non-paramétriques de régression multidimensionnelle
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Publication:2745757
DOI10.1016/S0764-4442(01)02010-9zbMATH Open1006.62039MaRDI QIDQ2745757
Philippe Vieu, Stefan Sperlich, Juan M. Rodríguez-Póo
Publication date: 9 March 2003
Published in: Comptes Rendus de l'Académie des Sciences - Series I - Mathematics (Search for Journal in Brave)
Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20)
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Assessing the multivariate normal approximation of the maximum likelihood estimator from high-dimensional, heterogeneous data ⋮ Asymptotic normality for the estimator of non parametric regression model under ϕ-mixing errors ⋮ Unnamed Item ⋮ Higher-order asymptotic normality of approximations to the modified signed likelihood ratio statistic for regular models ⋮ Asymptotic properties of computationally efficient alternative estimators for a class of multivariate normal models ⋮ On asymptotic distributions of normal theory MLE in covariance structure analysis under some nonnormal distributions
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