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Rates of convergence for the posterior distributions of mixtures of betas and adaptive nonparamatric estimation of the density
Rousseau, Judith - Université Paris-Dauphine (Paris IX) - 2009
In this work we investigate the asymptotic properties of nonparametric bayesian mixtures of Betas for estimating a smooth density on [0,1]. We consider a parameterisation of Betas distributions in terms of mean and scale parameters and construct a mixture of these Betas in the mean parameter,...
Persistent link: https://www.econbiz.de/10011072141
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Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density
Rousseau, Judith - Université Paris-Dauphine (Paris IX) - 2010
In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas for estimating a smooth density on [0, 1]. We consider a parametrization of Beta distributions in terms of mean and scale parameters and construct a mixture of these Betas in the mean parameter,...
Persistent link: https://www.econbiz.de/10011073964
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Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density.
Rousseau, Judith - Université Paris-Dauphine - 2010
In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas for estimating a smooth density on [0, 1]. We consider a parametrization of Beta distributions in terms of mean and scale parameters and construct a mixture of these Betas in the mean parameter,...
Persistent link: https://www.econbiz.de/10008551687