20 citations · 36 across the 10 of their papers we have counts for
12 papers
Predictive density estimators with integrated loss
Pankaj Bhagwat, Eric Marchand
This paper addresses the problem of an efficient predictive density estimation for the density of based on for . T…
Bayesian inference and prediction for mean-mixtures of normal distributions
Pankaj Bhagwat, Eric Marchand
We study frequentist risk properties of predictive density estimators for mean mixtures of multivariate normal distributions, involving an unknown location parameter $θ\in \mathbb{…
On shrinkage estimation of a spherically symmetric distribution for balanced loss functions
Lahoucine Hobbad, Éric Marchand, Idir Ouassou
We consider the problem of estimating the mean vector of a -dimensional spherically symmetric distributed based on balanced loss functions of the forms: {\bf (i)} $ωρ(\|…
Bayesian estimation and prediction for certain mixtures
Aziz LMoudden, Éric Marchand
For two vast families of mixture distributions and a given prior, we provide unified representations of posterior and predictive distributions. Model applications presented include…
On shrinkage estimation for balanced loss functions
Éric Marchand, William E. Strawderman
The estimation of a multivariate mean is considered under natural modifications of balanced loss function of the form: (i) , and (i…
On Predictive Density Estimation for Location Families under Integrated and Losses
Tatsuya Kubokawa, Éric Marchand, William E. Strawderman
Our investigation concerns the estimation of predictive densities and a study of efficiency as measured by the frequentist risk of such predictive densities with integrated a…