Research Social and Behavioral Sciences

Cum laude Dino Dittrich on network autocorrelation data

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)