  We discuss Bayesian inference (BI) for the probabilistic identification of
material parameters. This contribution aims to shed light on the use of BI for
the identification of elastoplastic material parameters. For this purpose a
single spring is considered, for which the stress-strain curves are
artificially created. Besides offering a didactic introduction to BI, this
paper proposes an approach to incorporate statistical errors both in the
measured stresses, and in the measured strains. It is assumed that the
uncertainty is only due to measurement errors and the material is homogeneous.
Furthermore, a number of possible misconceptions on BI are highlighted based on
the purely elastic case.
