In the linear regression model when the design matrix X is a function of a set of unknowns ρ, a marginal likelihood is derived for making inferences about ρ. Several special cases are considered and a ...

We consider the asymptotic behaviour of the marginal maximum likelihood empirical Bayes posterior distribution in general setting. First, we characterize the set where the maximum marginal likelihood ...

Given the availability of large longitudinal data sets on human height and weight, different modelling approaches are at hand to access quantities of interest relating to important diagnostic aims.