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 ...

Outline In this tutorial I am going to present the use of the Species Network model (Zhang et al. 2017), which is implemented as an add-on package for BEAST2 (Bouckaert et al. 2014) and allows the ...

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 ...

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 ...

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, ...