A key component of a vehicle monitoring system is uncertainty management Bayesian networks BN emerged as a normative and e ective formalism for uncertain reasoning in many AI tasks Since a priori modeling of the domain into a BN is impractical due to the vast interpretation space the BN formalism has been considered inapplicable to this type of task We propose a framework in which the BN formal...

Estimation and structure learning of high-dimensional signals via a normal sequence model are considered, where the underlying parameter vector is piecewise constant, or has block structure. A Bayesian fusion estimation method developed by using Horseshoe prior to induce strong shrinkage effect on successive differences in mean parameters, simultaneously imposing sufficient concentration for no...