AbstractSuppose one observes a sample of size m from the mixture density ∫ p(x|z) dη(z) and a sample of size n from the distribution η. The kernel p(x|z) is known. We show existence of the maximum likelihood estimator for η, characterize its support, and prove consistency as m, n → ∞
This thesis studies two types of research problems under finite mixture models. The first type is mi...
The search for conditions for the consistency of maximum likelihood estimators in nonlinear mixed e...
In finite mixtures of location-scale distributions, if there is no constraint or penalty on the para...
AbstractSuppose one observes a sample of size m from the mixture density ∫ p(x|z) dη(z) and a sample...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The Hessian of the multivariate normal mixture model is derived, and estimators of the information m...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The Hessian of the multivariate normal mixture model is derived, and estimators of the information m...
The Hessian of the multivariate normal mixture model is derived, and estimators of the information m...
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
This thesis deals with computational and theoretical aspects of maximum likelihood estimation for da...
This thesis deals with computational and theoretical aspects of maximum likelihood estimation for da...
Finite mixtures of densities from an exponential family are frequently used in the statistical analy...
Due to non-regularity of the finite mixture of normal dis-tributions in both mean and variance, the ...
This thesis studies two types of research problems under finite mixture models. The first type is mi...
This thesis studies two types of research problems under finite mixture models. The first type is mi...
The search for conditions for the consistency of maximum likelihood estimators in nonlinear mixed e...
In finite mixtures of location-scale distributions, if there is no constraint or penalty on the para...
AbstractSuppose one observes a sample of size m from the mixture density ∫ p(x|z) dη(z) and a sample...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The Hessian of the multivariate normal mixture model is derived, and estimators of the information m...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The Hessian of the multivariate normal mixture model is derived, and estimators of the information m...
The Hessian of the multivariate normal mixture model is derived, and estimators of the information m...
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
This thesis deals with computational and theoretical aspects of maximum likelihood estimation for da...
This thesis deals with computational and theoretical aspects of maximum likelihood estimation for da...
Finite mixtures of densities from an exponential family are frequently used in the statistical analy...
Due to non-regularity of the finite mixture of normal dis-tributions in both mean and variance, the ...
This thesis studies two types of research problems under finite mixture models. The first type is mi...
This thesis studies two types of research problems under finite mixture models. The first type is mi...
The search for conditions for the consistency of maximum likelihood estimators in nonlinear mixed e...
In finite mixtures of location-scale distributions, if there is no constraint or penalty on the para...
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