90 citations · 94 across the 4 of their papers we have counts for
4 papers
Generalized Linear Gaussian Cluster-Weighted Modeling
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo +1
Cluster-Weighted Modeling (CWM) is a flexible mixture approach for modeling the joint probability of data coming from a heterogeneous population as a weighted sum of the products o…
Maximum Likelihood Estimation of Gaussian Cluster Weighted Models and Relationships with Mixtures of Regression
Salvatore Ingrassia, Simona C. Minotti
Cluster-weighted modeling (CWM) is a mixture approach for modeling the joint probability of a response variable and a set of explanatory variables. The parameters are estimated by…
Model-based clustering via linear cluster-weighted models
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo
A novel family of twelve mixture models with random covariates, nested in the linear cluster-weighted model (CWM), is introduced for model-based clustering. The linear CWM…
Local statistical modeling by cluster-weighted
Salvatore Ingrassia, Simona C. Minotti, Giorgio Vittadini
We investigate statistical properties of Cluster-Weighted Modeling, which is a framework for supervised learning originally developed in order to recreate a digital violin with tra…