Bayesian priors and nuisance parameters

Gupta S, Lahiri A (2016)
arXiv:1611.08729.

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Bayesian techniques are widely used to obtain spectral functions from correlators. We suggest a technique to rid the results of nuisance parameters, ie, parameters which are needed for the regularization but cannot be determined from data. We give examples where the method works, including a pion mass extraction with two flavours of staggered quarks at a lattice spacing of about 0.07 fm. We also give an example where the method does not work.
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Gupta S, Lahiri A. Bayesian priors and nuisance parameters. arXiv:1611.08729. 2016.
Gupta, S., & Lahiri, A. (2016). Bayesian priors and nuisance parameters. arXiv:1611.08729
Gupta, S., and Lahiri, A. (2016). Bayesian priors and nuisance parameters. arXiv:1611.08729.
Gupta, S., & Lahiri, A., 2016. Bayesian priors and nuisance parameters. arXiv:1611.08729.
S. Gupta and A. Lahiri, “Bayesian priors and nuisance parameters”, arXiv:1611.08729, 2016.
Gupta, S., Lahiri, A.: Bayesian priors and nuisance parameters. arXiv:1611.08729. (2016).
Gupta, Sourendu, and Lahiri, Anirban. “Bayesian priors and nuisance parameters”. arXiv:1611.08729 (2016).
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