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Thurdsay the 20th of May, 17:00 UTC.
The law of large numbers in categorical probability (Tobias Fritz)
The law of large numbers (in its various guises) can be regarded as the most central result of probability theory, and any serious axiomatic system for probability must reproduce it in some form. After a general introduction to categorical probability in terms of Markov categories, I will explain how to formulate a form of the strong law of large numbers within this framework, namely the Glivenko-Cantelli theorem on the convergence of the empirical distribution. I will also sketch how to use this statement in order to derive other laws of large numbers from it.
Zoom: https://topos-institute.zoom.us/j/5344862882?pwd=Znh3UlUrek41T3RLQXJVRVNkM3Ewdz09
YouTube: https://youtu.be/Gvf3H4e7l8s
this is happening in just under an hour and a half! :)