1 citations · 1 across the 3 of their papers we have counts for
3 papers
Constrained mixtures of generalized normal distributions
Pierdomenico Duttilo, Stefano Antonio Gattone, Alfred Kume
This work introduces a family of univariate constrained mixtures of generalized normal distributions (CMGND) where the location, scale, and shape parameters can be constrained to b…
Estimation of clusterwise linear regression models with a shrinkage-like approach
Roberto Di Mari, Roberto Rocci, Stefano Antonio Gattone
Constrained approaches to maximum likelihood estimation in the context of finite mixtures of normals have been presented in the literature. A fully data-dependent constrained metho…
A data driven equivariant approach to constrained Gaussian mixture modeling
Roberto Rocci, Stefano Antonio Gattone, Roberto Di Mari
Maximum likelihood estimation of Gaussian mixture models with different class-specific covariance matrices is known to be problematic. This is due to the unboundedness of the likel…