Spectral Properties from Quantum Monte Carlo Data: A Consistent Approach

  • Preuss R
  • Von Der Linden W
  • Hanke W
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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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Preuss, R., Von Der Linden, W., & Hanke, W. (1996). Spectral Properties from Quantum Monte Carlo Data: A Consistent Approach. In Maximum Entropy and Bayesian Methods (pp. 171–178). Springer Netherlands. https://doi.org/10.1007/978-94-011-5430-7_20

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