stable

We have hosted the application stable in order to run this application in our online workstations with Wine or directly.

Quick description about stable:

Stable Graphical Model Learning (StabLe) is an algorithm for learning the structure and parameters of stable graphical (SG) models from data.

Stable random variables are motivated by the central limit theorem for densities with (potentially) unbounded variance and can be thought of as natural generalizations of the Gaussian distribution to skewed and heavy-tailed phenomenon. SG models are multi-variate stable distributions that represent Bayesian networks whose edges encode linear dependencies amongst random variables. A preprint version of the manuscript describing stable graphical models is available at http: //arxiv.org/abs/1404.4351.

Audience: Science/Research.

Programming Language: C++.
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