Automated method helps researchers quantify uncertainty in their predictions

A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work.

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Tamara Broderick ,Martin Ingram ,Andrew Gelman ,Bryan Giordano ,Us Office Of Naval Research ,Department Of Electrical Engineering ,University Of California At Berkeley ,National Science Foundation ,Laboratory For Information ,Columbia University ,Institute For Data ,Journal Of Machine Learning Research ,Electrical Engineering ,Computer Science ,Decision Systems ,Machine Learning ,Bayesian Inference ,Sample Average Approximation ,Eterministic Advi ,Tadvi ,