Bayesian probability updates using sampling/importance resampling: Applications in nuclear theory

We review an established Bayesian sampling method called sampling/importance resampling and highlight situations in nuclear theory when it can be particularly useful. To this end we both analyse a toy problem demonstrate realistic applications of importance to infer the posterior distribution for parameters $\Delta$NNLO interaction model based on chiral effective field estimate probability target observables. The limitation is also showcased extreme where breaks.