Consistent Application of Maximum Entropy to Quantum-Monte-Carlo Data
Condensed Matter
2016-08-31 v1
Abstract
Bayesian statistics in the frame of the maximum entropy concept has widely been used for inferential problems, particularly, to infer dynamic properties of strongly correlated fermion systems from Quantum-Monte-Carlo (QMC) imaginary time data. In current applications, however, a consistent treatment of the error-covariance of the QMC data is missing. Here we present a closed Bayesian approach to account consistently for the QMC-data.
Cite
@article{arxiv.cond-mat/9503098,
title = {Consistent Application of Maximum Entropy to Quantum-Monte-Carlo Data},
author = {W. von der Linden and R. Preuss and W. Hanke},
journal= {arXiv preprint arXiv:cond-mat/9503098},
year = {2016}
}
Comments
13 pages, RevTeX, 2 uuencoded PostScript figures