ABSTRACT
The most common application of Bayesian techniques is the fusion of information coming from different sensors to estimate the state of a given phenomenon.
The situation is always the same: you want information about a given phenomenon, this phenomenon influences sensors that you can read, and from these readings you try to estimate the phenomenon.
