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Department of Mathematical Sciences

Seminar Archives

On this page you can find information about seminars in this and previous academic years, where available on the database.

Statistics Seminars: Model uncertainty in Bayesian networks: an imprecise-probabilistic approach

Presented by Jasper de Bock, Gent University, Belgium

1 December 2014 14:00 in CM221

The construction of a Bayesian network requires the exact
specification of local conditional probability distributions for all the
variables in the network. In case of limited data or disagreeing and/or
partial expert opinions, this requirement is clearly unrealistic and
renders the resulting model arbitrary. The goal of this talk is to explain
how imprecise probability theory, which, basically, is the theory of sets
of probability distributions, allows us to deal with this type of model
uncertainty in a robust manner. I intend to give an overview of recent
developments on this topic, at an introductory level, ranging from
computational challenges to foundational questions.

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