EM Algorithm: i.i.d. Mixture Distribution

Maximum likelihood estimation of parameters from 2-state i.i.d. Normal mixture

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This function infers the unobserved regimes and provides estimates for the parameters of a Gaussian mixture with two states using the EM algorithm.

Exact references to the relevant equations from Hamilton (1994), Chapter 22 can be found in the procedure.

Any Tx1 data vector can be fed into the function.

Cite As

Marco B. (2026). EM Algorithm: i.i.d. Mixture Distribution (https://www.mathworks.com/matlabcentral/fileexchange/27682-em-algorithm-i-i-d-mixture-distribution), MATLAB Central File Exchange. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.2.0.0

plot augmented by fit based on ML estimates for mixture distribution

1.0.0.0