SFUSASS '22: Bayesian Space-Time Models for Expected Possession Added Value (Deep Dive)

This presentation is a follow-up to our 2021 Big Data Cup work on Bayesian Space-Time Models for Expected Possession Added Value at the SFU Sports Analytics Seminar Series. For more details check out our paper and presentation linked above.

Brendan Kumagai
Brendan Kumagai
Hockey Data Science Intern

Aspiring data scientist with a passion for hockey and science.