2 code implementations • 24 Apr 2019 • J. A. Melendez, R. J. Furnstahl, D. R. Phillips, M. T. Pratola, S. Wesolowski
We formalize the notion of EFT convergence and propose a Bayesian truncation error model for predictions that are correlated across the independent variables, e. g., energy or scattering angle.
Nuclear Theory High Energy Physics - Phenomenology Nuclear Experiment Data Analysis, Statistics and Probability
1 code implementation • 11 Apr 2017 • J. A. Melendez, S. Wesolowski, R. J. Furnstahl
Here we extend this application to consider a larger set of regulator parameters, energies, and observables as a general example of a statistical approach to truncation errors.
Nuclear Theory High Energy Physics - Phenomenology Nuclear Experiment Data Analysis, Statistics and Probability
1 code implementation • 3 Jun 2015 • R. J. Furnstahl, N. Klco, D. R. Phillips, S. Wesolowski
Computation of these intervals requires specification of prior probability distributions ("priors") for the expansion coefficients.
Nuclear Theory High Energy Physics - Phenomenology Nuclear Experiment Data Analysis, Statistics and Probability
