Consistent Application of Maximum Entropy to Quantum-Monte-Carlo Data

W. von der Linden, R. Preuss, W. Hanke

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)3881-3888
Number of pages8
JournalJournal of Physics Condensed Matter
Issue number21
Publication statusPublished - 1 May 1996


  • Condensed Matter


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