Gubernatis, J. E.; Bonča, J.; Jarrell, Mark Bayesian inference and the analytic continuation of imaginary-time quantum Monte Carlo data. (English) Zbl 0886.62029 Hanson, Kenneth M. (ed.) et al., Maximum entropy and Bayesian methods. Proceedings of the 15th international workshop, Santa Fe, NM, USA, July 31–August 4, 1995. Dordrecht: Kluwer Academic Publishers. Fundam. Theor. Phys. 79, 163-170 (1996). Summary: We present a brief description of how methods of Bayesian inference are used to obtain real frequency information by the analytic continuation of imaginary-time quantum Monte Carlo data. We present the procedure we used, which is due to R. K. Bryan [Eur. Biophys. J. 18, 165-174 (1990)], and summarize several bottleneck issues.For the entire collection see [Zbl 0855.00029]. Cited in 9 Documents MSC: 62F15 Bayesian inference 81T99 Quantum field theory; related classical field theories 62B10 Statistical aspects of information-theoretic topics 62P99 Applications of statistics Keywords:entropic prior; maximum entropy; analytic continuation Software:EISPACK PDFBibTeX XMLCite \textit{J. E. Gubernatis} et al., Fundam. Theor. Phys. 79, 163--170 (1996; Zbl 0886.62029)