Statistical Methods on Networks

Overview

Networks appear in various disciplines, from physics and biology to economics and social sciences. It is therefore of interest to study statistical models for networks (potentially changing over time) and systems evolving on networks. Both questions come with their own challenges due to the complexity induced by the network. The goal of this workshop is to bring together experts from different areas of statistics to exchange ideas on how to use statistical methods on networks.

Programme

The progamme in pdf form is available here.

Speakers

• Mirko Armillotta (University of Cyprus, Nicosia): Nonlinear Network Autoregressive Models
• Rebekka Buse (KIT, Karlsruhe): Assessing the Impact of Policy and Regulation Interventions in European Sovereign Risk Networks: What worked best?
• Cornelius Fritz (LMU, Munich): Statistical Approaches to Dynamic Networks in Society
• G. Stefan Gudmundsson (Aarhus University BSS): Detecting Giver and Receiver Spillover Groups in Large Vector Autoregressions
• Carsten Jentsch (TU Dortmund University): A Unified Approach of Goodness-of-fit Testing Based on Graph Functionals for Homogeneous Erdös-Rényi Graphs
• Enno Mammen (Heidelberg University): Random Planted Forest: A Directly Interpretable Tree Ensemble
• Eckehard Olbrich (MPI Mathematics in the Sciences, Leipzig): Modelling Retweet Networks with Latent Space Models
• Katerina Papagiannouli (MPI Mathematics in the Sciences, Leipzig): Convergence of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
• Benjamin Sischka (LMU, Munich): A Nonparametric Modelling Approach for Network Data
• Patrick J. Wolfe (Purdue University)
• Qiwei Yao (LSE, London): Autoregressive Networks

Registration

Everybody is welcome to attend and participation is free of charge but places are limited and registration is required: Please send an email before 10 September 2022 to netstat22@math.uni-leipzig.de.

Contact

Venue and Date

The workshop will be held at Leipzig University (near Augustusplatz) from 26 September till 28 September, 2022.