Using Hierarchical Multinomial Regression to Predict Elections in Paris Districts (Alex Andorra)

Speaker: Alex Andorra Title: Using Hierarchical Multinomial regression to predict elections in Paris at the district-level Video: https://www.youtube.com/watch?v=EYdIzSYwbSw Event description: Predicting elections in Paris with hierarchical multinomial regression. Discourse Discussion https://discourse.pymc.io/t/using-hierarchical-multinomial-regression-to-predict-elections-in-paris-at-the-district-level-by-alex-andorra/6057 ## Timestamps - 0:00 Start of event - x:xx - x:xx ## Note: help us add timestamps here https://github.com/pymc-devs/video-timestamps Speaker bio: By day, Alex is a data scientist and modeler at the brand new PyMC Labs consultancy. By night, he doesn’t (yet) fight crime, but he’s an open-source enthusiast and core contributor to the python packages PyMC and ArviZ. Alex is also the creator and host of the only podcast dedicated to Bayesian statistics, “Learning Bayesian Statistics”. Every fortnight, he interviews practitioners of all fields about why and how they use Bayesian statistics. He also loves Nutella a bit too much, but he doesn’t like talking about it – he prefers eating it. Speaker info: -GitHub: https://github.com/AlexAndorra -Twitter: https://twitter.com/alex_andorra -Website: https://learnbayesstats.anvil.app/ -LinkedIn: https://fr.linkedin.com/in/aandorra-pollsposition Part of PyMCon2020. More details at http://www.pymcon.com #bayesian #regression #statistics