will give a presentation on
A B S T R A C TThe modern paradigm for biological, economical, sociological processes is an interconnected, complex system where various parts interact in complex ways with each other. This process can often be modelled either by means of a random graph or a graphical model. In this talk we will focus on the latter. Our aim is to describe general inference methods that can deal with high-dimensional systems. We show a Bayesian approach incorporated in the R-package BDgraph and a frequentist approach, with particular biological applications, that we implemented in netgwas.