Fully probabilistic knowledge expression and incorporation
Miroslav Kárný, Tatiana V. Guy, Jan Kracík, Petr Nedoma, Antonella Bodini, Fabrizio Ruggeri · Statistics and Its Interface · 2014
An exploitation of prior knowledge in parameter estimation becomes vital whenever measured data is not informative enough.Elicitation of quantified prior knowledge is a well-elaborated art in societal and medical applications but not in the engineering ones.Frequently required involvement of a facilitator is mostly unrealistic due to either facilitator's high costs or complexity of modelled relationships that cannot be grasped by humans.This paper provides a facilitator-free approach based on an advanced knowledgesharing methodology.It presents the approach on commonly available types of knowledge and applies the methodology to a normal controlled autoregressive model.