This would mean that our visualization software (PartitionView) could be modified to process the output file. More generally, we recommend, as a general design principal for Bayesian inference ...

An extended depth-first search algorithm for optimal triangulation of Bayesian networks, International Journal of Approximate Reasoning (2016). DOI: 10.1016/j.ijar.2016.09.012 ...

The method is based on Bayesian inference, a statistical framework that estimates the most likely state of a system using observed data. Led by Dr. Motoya Shinozaki (Specially Appointed Assistant ...

A collaboration including the University of Oxford, University of British Columbia, Intel, New York University, CERN, and the National Energy Research Scientific Computing Center is working to make it ...

Bayesian Inference: Bayes theorem, prior, posterior and predictive distributions, conjugate models (Normal-Normal, Poisson-Gamma, Beta-Binomial), Bayesian point estimation, credible intervals and ...

Bayesian inference is a statistical technique well suited for combining expert opinions and historical data. In this paper, we present examples of the Bayesian inference methods for operational risk ...

The method is based on Bayesian inference, a statistical framework that estimates the most likely state of a system using observed data. A research team at Tohoku University's Advanced Institute ...