The Distributome Project is an open-source, open content-development project for exploring, discovering, navigating, learning and computational utilization of diverse probability distributions, which are functions that assign probabilities to events and give rise to mass or density functions, distribution functions, quantile functions, probability and moment generating functions. The current Distributome XML meta-data on distribution properties and inter-distribution relations is available here, the XSD schema is available here, and the XML HTML5 Validator is here. The complete Distributome project Java source code is available online under LGPL license.
Distributome graphical user Navigator
contributions (review, edit, revise and expand the core Distributome
database. The Distributome
project was initiated in 2008 by the UCLA Statistics Online
Computational Resource, the UAH
Virtual Laboratories in Probability and Statistics, and the OSU Mathematical Biosciences Institute.
Comments, inquiries, collaboration-requests and other information may
be obtained by email to or by
completing the Web-Survey.
Since 2010, the Distributome project is funded in part by the National
Science Foundation (NSF) grants 1416953,
The Principal Investigators of the Distributome project are Ivo Dinov
Pearl (MBI/OSU), and Kyle
Siegrist (VLPS/UAH). Distributome development
test server is available here.
Scientific Advisory Board (SAB) provides ongoing advice, vision and
constructive recommendations to the project development and evolution.
SAB members include Lawrence
Moore (Duke), David
Aldous (Berkeley) and Robert Dobrow
(Carleton College). Jim
Pitman, UC Berleley, has also contributed significnatly to this