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.

Innehållsansvarig:webmaster@math.kth.se
Tillhör: Institutionen för matematik
Senast ändrad: 2019-01-31