Modeling the cross-country distribution of per capita using mixture analysis provides a natural platform for the recovery or detection of clubs of countries. Unfortunately, these mixture methods, when based on a strictly univariate approach are limiting towards one's ability to learn about the...

Finite mixture models are being commonly used in a wide range of applications in practice concerning density estimation and clustering. An attractive feature of this approach to clustering is that it provides a sound statistical framework in which to assess the important question of how many...

Modeling the cross-country distribution of per capita income using mixture analysis provides a natural platform for the detection of clubs of countries. Unfortunately, these mixture methods, when based on a strictly univariate approach are limiting towards one’s ability to learn about the...

This note explores clustering in cross country GDP per capita using recently developed model based clustering methods for panel data. Previous research characterizing the components of the overall distribution of output either use ad hoc methods, or methods which ignore/subvert the panel nature...

An elliptical basis function (EBF) network is employed in this study for the classification of remotely sensed images. Though similar in structure, the EBF network differs from the well-known radial basis function (RBF) network by incorporating full covariance matrices and employing the...