14 citations · 16 across the 2 of their papers we have counts for
2 papers
math.ST2017★ 14 cited
Bayesian Dyadic Trees and Histograms for Regression
Stephanie van der Pas, Veronika Rockova
Many machine learning tools for regression are based on recursive partitioning of the covariate space into smaller regions, where the regression function can be estimated locally.…
math.ST2017★ 2 cited
Adaptive posterior contraction rates for the horseshoe
Stéphanie van der Pas, Botond Szabó, Aad van der Vaart
We investigate the frequentist properties of Bayesian procedures for estimation based on the horseshoe prior in the sparse multivariate normal means model. Previous theoretical res…