Bayesian logic is a type of statistical analysis that can quantify an uncertain outcome by determining its probability of occurrence using previously known, related data. Bayesian filters are used ...

You need Bayes’ theorem.” Indeed, one reason Bayesian logic is more robust than its frequentist alternative is that it accounts for frequentist sampling. But where do we get these priors from?

We highlight that many sociologists are, in fact, using Bayesian methods, even if they do not realize it, because techniques deployed by popular software packages often involve Bayesian logic and/or ...

On Thursday the 21st of November 2019, M.Sc. Topi Talvitie will defend his doctoral thesis on Counting and Sampling Directed Acyclic Graphs for Learning Bayesian Networks. The thesis is a part of ...

Bayesian forecasting and analysis is now mainstream and is used very successfully in many fields. Autonomy, owned by Hewlett- Packard, is based on Bayesian logic.

Xuan Cao, Kshitij Khare, Malay Ghosh, POSTERIOR GRAPH SELECTION AND ESTIMATION CONSISTENCY FOR HIGH-DIMENSIONAL BAYESIAN DAG MODELS, The Annals of Statistics, Vol. 47, No. 1 (February 2019), pp.