Related Experiment Videos
An introduction to finite mixture distributions
1Biostatistics and Computing Department, Institute of Psychiatry, London, UK.
Statistical Methods in Medical Research
|June 1, 1996
Summary
Finite mixture densities model subpopulations using Gaussian or other components. This general introduction aids understanding of specialized applications like survival time analysis.
Area of Science:
- Statistics
- Probability Theory
Background:
- Finite mixture densities are statistical tools for modeling data originating from distinct subpopulations.
- Gaussian (univariate or multivariate) components are traditionally prevalent in mixture models.
- Emerging applications utilize diverse component types for modeling complex data, such as survival times.