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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"
· Last modified: 2018/11/16 04:09 by
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