2 papers
stat.ME2015
A unified framework for model-based clustering, linear regression and multiple cluster structure detection
Giuliano Galimberti, Annamaria Manisi, Gabriele Soffritti
A general framework for dealing with both linear regression and clustering problems is described. It includes Gaussian clusterwise linear regression analysis with random covariates…
stat.ME2014
Using mixtures in seemingly unrelated linear regression models with non-normal errors
Giuliano Galimberti, Elena Scardovi, Gabriele Soffritti
Seemingly unrelated linear regression models are introduced in which the distribution of the errors is a finite mixture of Gaussian components. Identifiability conditions are provi…