1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Fast QR updating methods for statistical applications
Mauro Bernardi, Claudio Busatto, Manuela Cattelan
This paper introduces fast R updating algorithms specifically designed for statistical applications, including regression, filtering, and model selection, where data structures cha…
stat.ME2023★ 1 cited
Informative co-data learning for high-dimensional Horseshoe regression
Claudio Busatto, Mark van de Wiel
High-dimensional data often arise from clinical genomics research to infer relevant predictors of a particular trait. A way to improve the predictive performance is to include info…
stat.ME2023★ 1 cited
Inference of multiple high-dimensional networks with the Graphical Horseshoe prior
Claudio Busatto, Francesco Claudio Stingo
We develop a novel full-Bayesian approach for multiple correlated precision matrices, called multiple Graphical Horseshoe (mGHS). The proposed approach relies on a novel multivaria…