15

Feb

Teaser image to Assessing goodness of fit for network models

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 tba

Colloquium  •  03.07.2024  •  LMU Department of Statistics and via zoom

tba


Link to tba

Colloquium  •  26.06.2024  •  LMU Department of Statistics and via zoom

tba


Link to tba

Colloquium  •  19.06.2024  •  LMU Department of Statistics and via zoom

tba


Link to tba

Colloquium  •  05.06.2024  •  LMU Department of Statistics and via zoom

tba


Link to Explainable Methods for Reinforcement Learning

Colloquium  •  03.06.2024  •  LMU Department of Statistics and via zoom

Explainable Methods for Reinforcement Learning

The talk covers some of the main challenges for developing explainable DRL methods, focusing on the difference between supervised and reinforcement learning.