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doi: 10.5281/zenodo.10236
These Python packages are for fitting noisy data by multi-dimensional, nonlinear functions of arbitrarily many parameters. The code supports Bayesian priors and provides tools for error propagation through complicated arithmetic functions.
lattice QCD, Gaussian random variables, Bayesian curve fitting, nonlinear least squares fitting
lattice QCD, Gaussian random variables, Bayesian curve fitting, nonlinear least squares fitting
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