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Teaser image to Assessing goodness of fit for network models

Colloquium

Assessing Goodness of Fit for Network Models

Gesine Reinert, University of Oxford

   15.02.2023

   4:15 pm - 5:45 pm

   LMU Department of Statistics and via zoom

Networks are often used to represent complex dependencies in data, and network models can aid the understanding of such dependencies. This talk will present network models. We shall introduce a kernelized goodness of fit test (which is based on Stein’s method), give performance guarantees, and illustrate its use.


Related

Link to Causal Inference Based on Machine Learning for Complex Longitudinal Exposures

Colloquium  •  12.11.2025  •  LMU Department of Statistics and via zoom

Causal Inference Based on Machine Learning for Complex Longitudinal Exposures

12.11.25, 4:15-5:45 pm: Iván Diaz and Herb Sussman from the New York University.


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