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20152018
most citedA pairwise likelihood approach to simultaneous clustering and dimensional reduction of ordinal data

1 citations · 3 across the 4 of their papers we have counts for

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2 papers · 1 filter

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.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…