Institute of Information Theory and Automation

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Bibliography

Journal Article

Fully probabilistic knowledge expression and incorporation

Kárný Miroslav, Guy Tatiana Valentine, Kracík J., Nedoma Petr, Bodini A., Ruggeri F.

: Statistics and its Interface vol.7, 4 (2014), p. 503-515

: GA13-13502S, GA ČR

: Bayesian estimation, knowledge elicitation, just-in-time modelling, controlled autoregressive model

: 10.4310/SII.2014.v7.n4.a7

: http://library.utia.cas.cz/separaty/2014/AS/karny-0438275.pdf

(eng): 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.

: BB

2019-01-07 08:39