Network meta-analysis is a general approach to integrate the results of multiple studies in which multiple treatments are compared, often in a pairwise manner. In this tutorial, we illustrate the ...

Tutorial for BaNDyT: Bayesian Network Analysis of Dynamic Trajectories A series of tutorials for the application of BaNDyT: Bayesian Network analisis of Molecular Dynamic simulation trajectories.

And then we beam with pleasure as we realize we've got most of the knowledge we need to understand and appreciate Bayesian Networks already. The remainder of the tutorial introduces the important ...

Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, ...

This self-paced Introduction to Bayesian Network course provides a comprehensive introduction to the theory and practical applications of this powerful tool. Whether you're a complete beginner or have ...

While Bayesian methods for the inference of species networks are computationally still very demanding, their continued development is likely going to have a strong impact on the field of phylogenomics ...

Network behavior modelling is a central issue for model-based approaches of self-diagnosis of telecommunication networks. There are two methods to build such models. The model can be built from expert ...