Overparametrized models with posterior drift

ArXi:2506.23619v2 Announce Type: replace-cross This paper investigates the impact of posterior drift on out-of-sample forecasting accuracy in overparametrized machine learning models. We document the loss in performance when the loadings of the data generating process change between the