none2noThis letter illustrates simple assumptions for proving consistency of the maximum likelihood estimator under multivariate Gaussian and Student's t linear cluster-weighted models, which allow density estimation, clustering and linear regression analysis with continuous random predictors in presence of unobserved heterogeneity.mixedGalimberti G; Soffritti GGalimberti G; Soffritti
Reduced-rank restrictions can add useful parsimony to coefficient matrices of multivariate models, b...
AbstractThe consistency proof for the (Gaussian quasi) maximum likelihood estimator in multivariable...
open2siThe authors gratefully acknowledge financial support from MIUR research grant PRIN 2010J3LZEN...
This letter illustrates simple assumptions for proving consistency of the maximum likelihood estimat...
This letter illustrates simple assumptions for proving consistency of the maximum likelihood estimat...
In recent years, the research into cluster-weighted models has been intense. However, estimating the...
In recent years, the research into cluster-weighted models has been intense. However, estimating the...
The two main topics of this article are the introduction of the “optimally tuned robust improper max...
The two main topics of this article are the introduction of the “optimally tuned robust improper max...
The two main topics of this paper are the introduction of the “optimally tuned improper maximum lik...
The two main topics of this paper are the introduction of the “optimally tuned improper maximum lik...
This article investigates the Farlie–Gumbel–Morgenstern class of models for ex-changeable continuous...
The search for conditions for the consistency of maximum likelihood estimators in nonlinear mixed e...
Maximum likelihood approach for independent but not identically distributed observations is studied....
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
Reduced-rank restrictions can add useful parsimony to coefficient matrices of multivariate models, b...
AbstractThe consistency proof for the (Gaussian quasi) maximum likelihood estimator in multivariable...
open2siThe authors gratefully acknowledge financial support from MIUR research grant PRIN 2010J3LZEN...
This letter illustrates simple assumptions for proving consistency of the maximum likelihood estimat...
This letter illustrates simple assumptions for proving consistency of the maximum likelihood estimat...
In recent years, the research into cluster-weighted models has been intense. However, estimating the...
In recent years, the research into cluster-weighted models has been intense. However, estimating the...
The two main topics of this article are the introduction of the “optimally tuned robust improper max...
The two main topics of this article are the introduction of the “optimally tuned robust improper max...
The two main topics of this paper are the introduction of the “optimally tuned improper maximum lik...
The two main topics of this paper are the introduction of the “optimally tuned improper maximum lik...
This article investigates the Farlie–Gumbel–Morgenstern class of models for ex-changeable continuous...
The search for conditions for the consistency of maximum likelihood estimators in nonlinear mixed e...
Maximum likelihood approach for independent but not identically distributed observations is studied....
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
Reduced-rank restrictions can add useful parsimony to coefficient matrices of multivariate models, b...
AbstractThe consistency proof for the (Gaussian quasi) maximum likelihood estimator in multivariable...
open2siThe authors gratefully acknowledge financial support from MIUR research grant PRIN 2010J3LZEN...