BAT - The Bayesian Analysis Toolkit

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We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution. Parameter estimation, limit setting and uncertainty propag...

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Detalles Bibliográficos
Autores principales: Caldwell, Allen C, Kollár, Daniel, Kröninger, Kevin
Lenguaje:eng
Publicado: 2008
Materias:
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1016/j.cpc.2009.06.026
http://cds.cern.ch/record/1121291
Descripción
Sumario:We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution. Parameter estimation, limit setting and uncertainty propagation are implemented in a straightforward manner. A goodness-of-fit criterion is presented which is intuitive and of great practical use.

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