ONLINE SEMINARS

• Prof. Gesine Reinert, Turing Institute Talk
• Prof. Gesine Reinert, Master Class "Inference of Networks"
• Prof. Gesine Reinert, "Estimating the number of communities in a network"
• Dr. Veronica Vinciotti, "Sparse Gaussian graphical models for dynamic gene regulatory networks"
• Prof. Ernst Wit, "Network inference in genomics"
• Prof. Neil Friel, "Properties of Latent Variable Network Models"
• Dr. Alberto Caimo, "Bayesian ERGMs -- computational and modelling challenges"
• Dr. Pariya Behrouzi, "Detecting Epistatic Selection in the Genome of RILs via a latent Gaussian Copula Graphical Model"
• Prof. Alberto Roverato, "The Networked Partial Correlation and its Application to the Analysis of Genetic Interactions"
• Dr. Reza Mohammadi, "Bayesian modelling of Dupuytren disease using Gaussian copula graphical models"
• Dr. Silvia Fierascu, "Applying network science to political problems. A conceptual and analytical framework for understanding and predicting corruption risks in business-political networks"
• Dr. Ben Parker, "Optimal Design of Experiments on Connected Units with Application to Social Networks"
• Prof. Tom Snijders, "Continuous-time statistical models for network panel data"
• Prof. Eric Kolazyk, "Dynamic causal networks with multi-scale temporal structure"
• Prof. Tom Britton, "A network epidemic model with preventive rewiring: comparative analysis of the initial phase"
• Prof. Stephane Robin, "Detecting change-points in the structure of a network: Exact Bayesian inference"
• Dr. Catherine Matias, "Statistical clustering of temporal networks through a dynamic stochastic block model"
• Prof. Niel Lawrence, "Deep Probabilistic Modelling with Gaussian Processes"

Publications; CostNet