Cargando…
Bayesian Analysis Toolkit in Searches
The Bayesian Analysis Toolkit, a software package for data analysis based onBayes' theorem, is introduced. This toolkit takes advantage of Markov ChainMonte Carlo to find the full posterior probability distributions. The tool caneasily be used for parameter estimation, limit setting and error p...
Autores principales: | , , , , |
---|---|
Lenguaje: | eng |
Publicado: |
CERN
2011
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.5170/CERN-2011-006.209 http://cds.cern.ch/record/2203253 |
Sumario: | The Bayesian Analysis Toolkit, a software package for data analysis based onBayes' theorem, is introduced. This toolkit takes advantage of Markov ChainMonte Carlo to find the full posterior probability distributions. The tool caneasily be used for parameter estimation, limit setting and error propagation.Model comparison and goodness-of-fit estimation are realized in the packagethrough well-established methods. In addition to a brief description of theBayesian Analysis Toolkit, the use of this tool in searches is described in theexample of Banff Challenge 2a problem 1. |
---|