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.
- Condensed Matter
von der Linden, W., Preuss, R., & Hanke, W. (1996). Consistent Application of Maximum Entropy to Quantum-Monte-Carlo Data. Journal of physics / Condensed matter, 8(21), 3881-3888. https://doi.org/10.1088/0953-8984/8/21/013