Title
Editorial: recent developments in mixture models
Abstract
Recent developments in the area of mixture models are introduced, reviewed and discussed. The paper introduces this special issue on mixture models, which touches upon a diversity of developments which were the topic of a recent conference on mixture models, taken place in Hamburg, July 2001. These developments include issues in nonparametric maximum likelihood theory, the number of components problem, the non-standard distribution of the likelihood ratio for mixture models, computational issues connected with the EM algorithm, several special mixture models and application studies.
Year
DOI
Venue
2003
10.1016/S0167-9473(02)00161-5
Computational Statistics & Data Analysis
Keywords
Field
DocType
nonparametric maximum likelihood,special mixture model,likelihood ratio,number of components,nonparametric maximum likelihood theory,mixture model,application study,unobserved heterogeneity,application studies,recent conference,components problem,special issue,recent development,em algorithm
Econometrics,Expectation–maximization algorithm,Nonparametric maximum likelihood,Statistics,Mixture model,Mathematics
Journal
Volume
Issue
ISSN
41
3-4
Computational Statistics and Data Analysis
Citations 
PageRank 
References 
27
8.38
25
Authors
2
Name
Order
Citations
PageRank
Dankmar Böhning15013.62
Wilfried Seidel23810.02