1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.CO2018
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.ME2015★ 1 cited
A pairwise likelihood approach to simultaneous clustering and dimensional reduction of ordinal data
Monia Ranalli, Roberto Rocci
The literature on clustering for continuous data is rich and wide; differently, that one developed for categorical data is still limited. In some cases, the problem is made more di…