40 citations · 162 across the 22 of their papers we have counts for
4 papers · 1 filter
A smooth dynamic network model for patent collaboration data
Verena Bauer, Dietmar Harhoff, Göran Kauermann
The development and application of models, which take the evolution of network dynamics into account are receiving increasing attention. We contribute to this field and focus on a…
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…