ABSTRACT
In many engineering applications, one needs to extract the signal from the data corrupted by additive random noise and interference of different kinds in order to recover the unknown quantities of interest. This is a problem of scientific inference, and to carry out consistent reasoning and inference, one may use the Bayesian paradigm.
