Bayesian is not just a family of techniques but brings a new way of thinking to statistics, in how it deals with probability, uncertainty and drawing inferences from an analysis. Bayesian statistics ...

Topics include causal inference, graph-based reasoning, learning Bayesian Networks from data, and advanced methods of Bayesian learning using Markov Chain Monte Carlo. The course emphasizes diverse ...

Research from Professor Jessica Hullman that applies a formal Bayesian model to improve the design and ... Strategic Vision See how we're building the future of Northwestern Engineering. Leadership ..

There are a variety of approaches to Bayesian subgroup analysis. Practitioners should consider the type of subpopulations in which they are interested and choose their methods accordingly. We ...