Statistical Network Data Analysis 2018

On behalf of the German Statistical Society (DStatG) we organize a workshop on Statistical Network Data Analysis. The workshop will take place on September 20, 2018 at the Ludwig-Maximilians-Universität München in Munich (Germany).

Details

The workshop is part of the new "focused workshop series" of the DStatG that are meant to support and encourage young scholars, PostDocs and doctoral students doing research in selected fields of statistics. Besides scientific exchange, the workshop is intended to enhance networking among young scientists working in similar fields and should improve the transfer of cutting edge research within the society.

The first focused workshop is dedicated to the statistical analysis of network data, including graphical models and bayesian networks. The participants get the chance to present their research papers and work in progress in a talk. After the talk the presentations will be discussed. All in all, a research talk should last maximally up to 25 minutes, including discussion.

Professor Christoph Stadtfeld (ETH Zürich, Chair of Social Networks) will give a keynote speech on the state of the art in statistical network analysis and future challenges in the field.

Time schedule

Informal Meeting and get together*		12:00	13:00
Christoph Stadtfeld, ETH Zurich	Statistical Analysis of Social Network Dynamics: Methods and Applications	13:00	14:30
Coffee Break		14:30	14:50
Research Talks - Slot 1
Alexander Kreiss, Uni Heidelberg	Non-Parametric Inference of Dynamic Interaction Network Models	14:50	15:15
Livia Shkoza, Uni Konstanz	Peer Effects in Education: Identification and Estimation	15:15	15:40
Anna Calissano, MOX Milano	Population of Network-Value Data: A Perspective	15:40	16:05
Hannah Busen, Helmholtz Center Munich	Spatial organization and scientific collaboration at the Helmholtz Zentrum München and Bielefeld University	16:05	16:30
Coffee Break		16:30	17:00
Research Talks - Slot 2
Eva Endres, LMU Munich	Statistical matching meets probabilistic graphical models	17:00	17:25
Benjamin Sischka, LMU Munich	Bayesian Estimation of Graphon	17:25	17:50
Sevag Kevork, LMU Munich	Iterative Estimation Approach for Exponential Random Graph Models with Nodal Random Effects	17:50	18:15
Concluding Discussion		18:15	18:30