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Student's t-distribution Mixture Model
=====
Extra file for PyMix to handle multivariate Student's t-distribution.
I use klahnakoski's version of pymix downloadable from:
https://github.com/klahnakoski/pymix.git
Based on:
"A Derivation of the EM Updates for Finding
the MaximumLikelihood Parameter Estimates of
the Student's t Distribution" by Carl Scheer,
see https://www.researchgate.net/publication/241157474_A_Derivation_of_the_EM_Updates_for_Finding_the_Maximum_Likelihood_Parameter_Estimates_of_the_Student%27s_t_Distribution
Requirements
------------
**Required Packages**
* Python (version 2.7.x recommended)
* SciPy (and NumPy, of course)
* pymix
Installation
------------
git clone https://github.molgen.mpg.de/MPS-SAGE/StMM.git
Documentation
--------------
None so far.