Data transforming augmentation for heteroscedastic models
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2019.1704295
Abstract: Abstract Data augmentation (DA) turns seemingly intractable computational problems into simple ones by augmenting latent missing data. In addition to computational simplicity, it is now well-established that DA equipped with a deterministic transformation can improve… read more here.
Keywords: transforming augmentation; data transforming; heteroscedastic models; dta scheme ... See more keywords