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

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

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W. von der Linden, R. Preuss, W. Hanke. 1995-03-17. Consistent Application of Maximum Entropy to Quantum-Monte-Carlo Data. https://doi.org/10.1088/0953-8984%2F8%2F21%2F013

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