1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2016
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…
stat.CO2016★ 1 cited
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…