Jackson CurtisJun 20, 20224 minA Problem with Confidence IntervalsConfidence intervals may not adequately convey how certain a statistical model is
Jackson CurtisJun 2, 20227 min5 Problems with Using Linear Regression for MMM (and what to do instead)An introduction to some of the complexities of marketing mix modeling
Jackson CurtisSep 6, 20213 min'Objective Ignorance' and the Limits of PredictabilityHow data scientists fool themselves into thinking prediction problems are easier than they are.
Jackson CurtisJun 28, 20217 minRanking NBA Refs - pt. 2 Building a Bayesian ModelA walkthrough of my Bayesian model to rank NBA referees
Jackson CurtisJun 22, 20213 minRanking NBA Refs, pt. 1 - Modeling Bad CallsModeling the bad call rate among NBA refs using Bayesian poisson regression.
Jackson CurtisJun 9, 20213 minXGBoost and Model AssumptionsMy post this week is simply to emphasize the work Saupin Guillame found here. In his post, Saupin demonstrates that a major limitation of...