317 citations · 539 across the 26 of their papers we have counts for
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stat.ME2021★ 1 cited
Inference for multiple treatment effects using confounder importance learning
Omiros Papaspiliopoulos, David Rossell, Miquel Torrens-i-Dinarès
We address modelling and computational issues for multiple treatment effect inference under many potential confounders. Our main contribution is providing a trade-off between preve…
stat.CO2021★ 7 cited
Scalable Bayesian computation for crossed and nested hierarchical models
Omiros Papaspiliopoulos, Timothée Stumpf-Fétizon, Giacomo Zanella
We develop sampling algorithms to fit Bayesian hierarchical models, the computational complexity of which scales linearly with the number of observations and the number of paramete…