1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.CO2018★ 1 cited
Constrained maximum likelihood estimation of clusterwise linear regression models with unknown number of components
R. Di Mari, R. Rocci, S. A. Gattone
We consider an equivariant approach imposing data-driven bounds for the variances to avoid singular and spurious solutions in maximum likelihood (ML) estimation of clusterwise line…
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…