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We review an established Bayesian sampling method called sampling/importanceresampling and highlight situations in nuclear theory when it can beparticularly useful. To this end we both analyse a toy problem and demonstraterealistic applications of importance resampling to infer the posteriordistribution for parameters of $\Delta$NNLO interaction model based on chiraleffective field theory and to estimate the posterior probability distributionof target observables. The limitation of the method is also showcased inextreme situations where importance resampling breaks.

Bayesian probability updates using Sampling/Importance Resampling: Applications in nuclear theory