Testing distribution in deconvolution problems (2009)
In this paper we consider a random variable $Y$ contamined by an independent additive noise $Z$. We assume that $Z$ has known distribution. Our purpose is to test the distribution of the unobserved...
Estimation de la probabilité d'avoir une donnée manquante (2009)
En présence d'une variable de loi connue dont les données manquantes ne sont pas dues au hasard (No Missing At Random) nous proposons une méthode pour estimer les probabilités d'avoir une donnée...
Estimation de la probabilité d'avoir une donnée manquante (2009)
En présence d'une variable de loi connue dont les données manquantes ne sont pas dues au hasard (No Missing At Random) nous proposons une méthode pour estimer les probabilités d'avoir une donnée...
Orthogonal series density estimation in mixture models (2006)
This paper concerns estimation of mixture densities. It is the continuation of the work of Pommeret [5] on mixture models in two directions: first we consider orthogonal series density estimates...
A bayesian choice between poisson, binomial and negative binomial models (2006)
Dauxois, Jean-Yves, Druilhet, Pierre, Pommeret, Denys
In this paper, we propose a Bayesian method for modelling count data by Poisson, binomial or negative binomial distributions. These three distributions have in common that the variance is, at most, a...
A bayesian choice between poisson, binomial and negative binomial models
Jean-Yves Dauxois, Pierre Druilhet, Denys Pommeret
Jeffreys-Lindley paradox, natural exponential family, overdispersion, Sibship data, variance function, 62C12,
Multidimensional Bhattacharyya Matrices and Exponential Families
Shanbhag (1972, 1979) has characterized the distributions belonging to an exponential family on such that the Bhattacharyya matrix is diagonal. Since then, this set of distributions has been classed...
A note on natural exponential families with cuts
Bar-Lev, Shaul K., Pommeret, Denys
Let [mu] be a positive measure defined on the product of two vector spaces E=E1xE2. Let F=F([mu]) be a natural exponential family (NEF) generated by [mu] such that the projection of F on E1...
Posterior variance for quadratic natural exponential families
Within the framework of the quadratic natural exponential families we construct a basis of polynomials orthogonal with respect to the posterior density. This construction is adapted from Walter and...
A construction of the UMVU estimator for simple quadratic natural exponential families
This paper presents a construction of the uniformly minimum variance unbiased (UMVU) estimator of real-valued functions for the simple quadratic natural exponential families on . A polynomial...
"A Construction of Lancaster Probabilities with Margins in the Multidimensional Meixner Class"
optimal matching
"A Characterization of Functions by their First Moments in Natural Exponential Families"
optimal matching