33 citations · 60 across the 11 of their papers we have counts for
4 papers · 1 filter
In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
Michael Lebacher, Samantha Cook, Nadja Klein +1
To capture the systemic complexity of international financial systems, network data is an important prerequisite. However, dyadic data is often not available, raising the need for…
Tempus Volat, Hora Fugit -- A Survey of Tie-Oriented Dynamic Network Models in Discrete and Continuous Time
Cornelius Fritz, Michael Lebacher, Göran Kauermann
Given the growing number of available tools for modeling dynamic networks, the choice of a suitable model becomes central. The goal of this survey is to provide an overview of tie-…
Regression-based Network Reconstruction with Nodal and Dyadic Covariates and Random Effects
Michael Lebacher, Göran Kauermann
Network (or matrix) reconstruction is a general problem which occurs if the margins of a matrix are given and the matrix entries need to be predicted. In this paper we show that th…
Censored Regression for Modelling International Small Arms Trading and its "Forensic" Use for Exploring Unreported Trades
Michael Lebacher, Paul W. Thurner, Göran Kauermann
In this paper we use a censored regression model to investigate data on the international trade of small arms and ammunition (SAA) provided by the Norwegian Initiative on Small Arm…