# Mixture Models; Gaussian

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a mixture model is a probabilistic model for representing the presence of subpopulations within an overall population, without requiring that an observed data set should identify the sub-population to which an individual observation belongs. The following are examples described in Wikipedia:

- A financial model
- House prices
- Topics in a document
- Handwriting recognition
- Assessing projectile accuracy (a.k.a. circular error probable, CEP)
- Direct and indirect applications
- Predictive Maintenance
- Fuzzy image segmentation

Parameter estimation and system identification

- Expectation maximization (EM)
- Markov chain Monte Carlo
- Moment matching
- Spectral method
- Graphical Methods
- Other methods
- A simulation