Måns Magnusson: Bayesian leave-one-out cross-validation for large data
Tid: On 2019-02-06 kl 13.00 - 14.00
Föreläsare: Måns Magnusson, Aalto University
Plats: Room B705, Department of Statistics, Stockholm University
Abstract: Model inference, such as model comparison, model checking, and model selection, is an important part of model development. Leave-one-out cross-validation (LOO) is a general approach for assessing the generalizability of a model, but unfortunately, LOO does not scale well to large datasets. We propose a combination of using approximate inference techniques and probability-proportional-to-size-sampling (PPS) for fast LOO model evaluation for large datasets. We provide both theoretical and empirical results showing good properties for large data.