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

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Publisher: Wiley

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Cawley, Gavin

John Wiley & Sons - Latent Variable Models and Factor Analysis : A Unified Approachby Bartholomew, David J. Knott, Martin

Moustaki, Irini - Approximation Methods for Efficient Learning of Bayesian Networksby Riggelsen, C.

Publisher: IOS Press

ISBN: 9781607502982

- Statistical Applications.
- Mathematical aspects.
- Identifiability.
- Multimodality.
- Negative mixing weights.
- General properties.
- Estimating mixing parameters.
- Graphical methods.
- Method of moments.
- Maximum likelihood.
- Bayesian.
- 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.

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Publisher: Harvard University Press

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Publisher: Princeton University Press

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Publisher: World Scientific

ISBN: 9789812772992