woman with camera

Cum laude Dino Dittrich on network autocorrelation data

Published: 07th December 2018 Last updated: 16th April 2019

Friday, November 30th, Dino Dittrich (TSB) did an excellent job defending his thesis cum laude (with distinction).

Dino has developed, together with his co-authors, a Bayesian methodology for the network autocorrelation model. Title of his dissertation: The grass is not always greener in the neighbor's yard: Bayesian and frequentist inference methods for network autocorrelated data.

A special feature of this dissertation is that it is a collaboration between colleagues of the Department Organization Studies and the Department Methodology and Statistics at the Tilburg School of Social and Behavioral Sciences (TSB).

Promotores: prof. Roger Leenders (OS), prof. Jeroen Vermunt (MTO) and dr. Joris Mulder (MTO)