Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation. - Roberto Di Mari; Roberto Rocci; Stefano Antonio Gattone (SMPS, 2016)

Clusterwise linear regression modeling with soft scale constraints. - Roberto Di Mari; Roberto Rocci; Stefano Antonio Gattone (Int. J. Approx. Reason., 2017)

A data driven equivariant approach to constrained Gaussian mixture modeling. - Roberto Rocci; Stefano Antonio Gattone; Roberto Di Mari (Adv. Data Anal. Classif., 2018)

A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error. - Roberto Di Mari; Antonello Maruotti (Adv. Data Anal. Classif., 2022)

Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models. - Roberto Di Mari; Salvatore Ingrassia; Antonio Punzo (J. Classif., 2023)