08

Feb

Teaser image to The Generalized Linear Mixed Model Leading Terms

Colloquium

The Generalized Linear Mixed Model Leading Terms

Matt Wand, University of Technology, Sydney

   08.02.2023

   4:15 pm - 5:45 pm

   LMU Department of Statistics and via zoom

Generalized linear mixed models (GLMMs) combine linear mixed models and generalized linear models. Despite their widespread use, there’s limited asymptotic theory for their maximum likelihood estimators. This talk discusses new results on GLMM leading terms, influencing statistical inference and study design.


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.