Published April 1, 2010
| Version v1
Journal article
BAT - The Bayesian Analysis Toolkit
- 1. Max-Planck-Institut fuer Physik, Muenchen (Germany)
- 2. CERN, Geneva (Switzerland)
- 3. II. Physikalisches Institut, Universitaet Goettingen (Germany)
Description
Bayesian Analysis Toolkit (BAT) is a new toolkit for data analysis based on Bayes' Theorem. BAT is realized with the use of Markov Chain Monte Carlo which gives access to the full posterior probability distribution. Parameter estimation, limit setting and uncertainty propagation are implemented in a straightforward manner. The tool allows to compare models and to estimate the goodness-of-fit using well-established methods.
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/219/3/032013Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 219
- Journal Issue
- 3
- Journal Page Range
- [10 p.]
- ISSN
- 1742-6596
Conference
- Title
- 17. international conference on computing in high energy and nuclear physics
- Acronym
- CHEP09
- Dates
- 21-27 Mar 2009
- Place
- Prague (Czech Republic)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 42040552
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPARATIVE EVALUATIONS; DATA ANALYSIS; DISTRIBUTION; MARKOV PROCESS; MONTE CARLO METHOD; PROBABILITY; SIMULATION
- Descriptors DEC
- CALCULATION METHODS; EVALUATION; STOCHASTIC PROCESSES