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The subjective review of the Bayesian methods adapted to study the lepton-nucleon scattering will be presented. The main attention will be focused on the neural network approach and its adaptation for study the proton radius problem and two-photon exchange physics (ep scattering). Bayesian methods allow one to control the impact of initial model assumptions on the results of the investigation, to classify quantitatively various physical hypothesis.