Add to ORKGThis issue was undated. The date given is an estimate.18 pages, 1 article*Identifiability and Strongly Consistent Estimates for Finite Mixtures of Discrete Distributions* (Choi, Keewhan) 18 page
We present general results on the identifiability of finite mixtures of elliptical distrib-utions un...
Identifiability is a necessary condition for the existence of consistent estimates for the parameter...
This paper is concerned with the identifiability of models depending on a multidimensional parameter...
This issue was undated. The date given is an estimate.7 pages, 1 article*Strongly Consistent Estimat...
This issue was undated. The date given is an estimate.11 pages, 1 article*Strongly Consistent Estima...
The problems with which we are concerned in this note are those of identifiability and strongly cons...
We provide a general framework to review the well-known concept of identifia-bility and give a forma...
Abstract. The concept of the identifiability of mixtures of distributions is discussed and a suffici...
Identifiability, Finite mixture, Log-normal distributions, Gamma distributions, Weibull distribution...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable,...
We consider representations of a joint distribution law of a family of categorical random ...
Abstract: This paper studies identifiability and convergence behaviors for parameters of multiple ty...
We present general results on the identifiability of finite mixtures of elliptical distrib-utions un...
Identifiability is a necessary condition for the existence of consistent estimates for the parameter...
This paper is concerned with the identifiability of models depending on a multidimensional parameter...
This issue was undated. The date given is an estimate.7 pages, 1 article*Strongly Consistent Estimat...
This issue was undated. The date given is an estimate.11 pages, 1 article*Strongly Consistent Estima...
The problems with which we are concerned in this note are those of identifiability and strongly cons...
We provide a general framework to review the well-known concept of identifia-bility and give a forma...
Abstract. The concept of the identifiability of mixtures of distributions is discussed and a suffici...
Identifiability, Finite mixture, Log-normal distributions, Gamma distributions, Weibull distribution...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable,...
We consider representations of a joint distribution law of a family of categorical random ...
Abstract: This paper studies identifiability and convergence behaviors for parameters of multiple ty...
We present general results on the identifiability of finite mixtures of elliptical distrib-utions un...
Identifiability is a necessary condition for the existence of consistent estimates for the parameter...
This paper is concerned with the identifiability of models depending on a multidimensional parameter...