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An open source crash course on parameter estimation of computational models using a Bayesian optimization approach

Computational and statistical models usually contain unknown parameters and coefficients, and the process of estimating the appropriate values of these parameters is mostly undocumented. In this learning module, we have tried to fill this gap and provide an easy-to-use code/educational material for this purpose.

Repository Address: https://github.com/mbarzegary/educational-bayesian

Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2577-3569