\texttt{GooStats} is a software framework that provides a flexible environment and common tools to implement multi-variate statistical analysis. The framework is built upon the \texttt{CERN ROOT}, \texttt{MINUIT} and \texttt{GooFit} packages. Running a multi-variate analysis in parallel on graphics processing units yields a huge boost in performance and opens new possibilities. The design and benchmark of \texttt{GooStats} are presented in this article along with illustration of its application to statistical problems.
@article{arxiv.1812.05686,
title = {\texttt{GooStats}: A GPU-based framework for multi-variate analysis in particle physics},
author = {Xuefeng Ding},
journal= {arXiv preprint arXiv:1812.05686},
year = {2018}
}