Editorial: recent developments in mixture models

  • Authors:
  • Dankmar Böhning;Wilfried Seidel

  • Affiliations:
  • Unit of Biometry and Epidemiology, Institute for International Health, Joint Center for Humanities and Health Sciences, Free University Berlin/Humboldt-University Berlin, Fabeckstr. 60-62, Haus 56 ...;School of Economic and Organizational Sciences, University of the Federal Armed Forces Hamburg, D-22039 Hamburg, Germany

  • Venue:
  • Computational Statistics & Data Analysis
  • Year:
  • 2003

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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.