Spectral Properties from Quantum Monte Carlo Data: A Consistent Approach

R. Preuss, W. Von Der Linden, W. Hanke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationMaximum Entropy and Bayesian Methods
EditorsKenneth M. Hanson, Richard N. Silver
PublisherSpringer Netherlands
Pages171-178
Number of pages8
ISBN (Print)978-94-010-6284-8 978-94-011-5430-7
Publication statusPublished - 1996

Publication series

NameFundamental Theories of Physics
PublisherSpringer Netherlands

Keywords

  • Analytic Continuation, Covariance, Electrical Engineering, Physics, general, Probability Theory and Stochastic Processes, Quantum Monte Carlo, Spectral properties, Statistical Physics, Dynamical Systems and Complexity, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics, general

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  • Cite this

    Preuss, R., Linden, W. V. D., & Hanke, W. (1996). Spectral Properties from Quantum Monte Carlo Data: A Consistent Approach. In K. M. Hanson, & R. N. Silver (Eds.), Maximum Entropy and Bayesian Methods (pp. 171-178). (Fundamental Theories of Physics). Springer Netherlands.