Model Inference with Reference Priors
High Energy Physics - Phenomenology
2011-07-15 v1 High Energy Physics - Experiment
Data Analysis, Statistics and Probability
Abstract
We describe the application of model inference based on reference priors to two concrete examples in high energy physics: the determination of the CKM matrix parameters rhobar and etabar and the determination of the parameters m_0 and m_1/2 in a simplified version of the CMSSM SUSY model. We show how a 1-dimensional reference posterior can be mapped to the n-dimensional (n-D) parameter space of the given class of models, under a minimal set of conditions on the n-D function. This reference-based function can be used as a prior for the next iteration of inference, using Bayes' theorem recursively.
Cite
@article{arxiv.1107.2877,
title = {Model Inference with Reference Priors},
author = {Maurizio Pierini and Harrison Prosper and Sezen Sekmen and Maria Spiropulu},
journal= {arXiv preprint arXiv:1107.2877},
year = {2011}
}
Comments
Proceedings of PHYSTAT11