The advance of computer technologies has generated huge amount of big data that need novel statistical and mathematical methods to make testable predictions. Bayesian method is an effective tool to infer unknown parameters and structures of complex networks in social, biological and physical sciences. After a brief introduction of big data and challenges in data analysis, I will use a few biological systems to illustrate how to use Bayesian methods to analyze complex networks.

How to participate in this seminar:

1. Book your nearest ACE facility;

2. Notify the ACE contact person at the host institution (Darren Condon) to notify you will be participating.

No access to an ACE facility? Contact Maaike Wienk to arrange a temporary Visimeet licence for remote access (limited number of licences available – first come first serve)