1 citations · 1 across the 3 of their papers we have counts for
3 papers
Cluster-weighted latent class modeling
Roberto Di Mari, Antonio Punzo, Zsuzsa Bakk
Usually in Latent Class Analysis (LCA), external predictors are taken to be cluster conditional probability predictors (LC models with covariates), and/or score conditional probabi…
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…