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Medientyp:
E-Artikel
Titel:
A Visualization Technique for Studying the Iterative Estimation of Mixture Densities
Beteiligte:
Solka, Jeffrey L.;
Poston, Wendy L.;
Wegman, Edward J.
Erschienen:
American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America, 1995
Erschienen in:Journal of Computational and Graphical Statistics
Sprache:
Englisch
ISSN:
1061-8600
Entstehung:
Anmerkungen:
Beschreibung:
<p>This article focuses on recent work that analyzes the expectation maximization (EM) evolution of mixtures-based estimators. The goal of this research is the development of effective visualization techniques to portray the mixture model parameters as they change in time. This is an inherently high-dimensional process. Techniques are presented that portray the time evolution of univariate, bivariate, and trivariate finite and adaptive mixtures estimators. Adaptive mixtures is a recently developed variable bandwidth kernel estimator where each of the kernels is not constrained to reside at a sample location. The future role of these techniques in developing new versions of the adaptive mixtures procedure is also discussed.</p>