15

Feb

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 Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming

AI Keynote Series  •  13.02.2025  •  Online via Zoom

Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming

13.02.25, 10-11:30 am: AI Keynote Series with Alex Luedtke from the University of Washington.


Link to A Novel Statistical Approach to Analyze Image Classification

Colloquium  •  29.01.2025  •  LMU Department of Statistics and via zoom

A Novel Statistical Approach to Analyze Image Classification

29.01.25, 4-6 pm: LMU Statistics Colloquium with Sophie Langer (U Twente) on faster, structured CNN-based image classification.