Mixture Distributions: Course Outline
In probability and statistics, a mixture distribution is the probability distribution of a random variable that is derived from a collection of other random variables as follows: first, a random variable is selected by chance from the collection according
- Statistical Applications.
- Mathematical aspects.
- Negative mixing weights.
- General properties.
- Estimating mixing parameters.
- Graphical methods.
- Method of moments.
- Maximum likelihood.
- Minimum distance of distribution functions.
- Minimum distance of transforms and numerical decomposition of mixtures.
- Modality: structure and assessment.
- Sequential problems and procedures: unsupervised learning problems.
- Approximate solutions for: mixing parameters.
- Component distribution parameters.