This is the Windows app named StabLe whose latest release can be downloaded as StabLe.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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StabLe
DESCRIPTION:
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++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/sgmodels/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.