5 citations · 5 across the 1 of their papers we have counts for
4 papers
Debiased Bayesian inference for average treatment effects
Kolyan Ray, Botond Szabo
Bayesian approaches have become increasingly popular in causal inference problems due to their conceptual simplicity, excellent performance and in-built uncertainty quantification…
Variational Bayes for high-dimensional linear regression with sparse priors
Kolyan Ray, Botond Szabo
We study a mean-field spike and slab variational Bayes (VB) approximation to Bayesian model selection priors in sparse high-dimensional linear regression. Under compatibility condi…
Semiparametric Bayesian causal inference
Kolyan Ray, Aad van der Vaart
We develop a semiparametric Bayesian approach for estimating the mean response in a missing data model with binary outcomes and a nonparametrically modelled propensity score. Equiv…
Asymptotic nonequivalence of density estimation and Gaussian white noise for small densities
Kolyan Ray, Johannes Schmidt-Hieber
It is well-known that density estimation on the unit interval is asymptotically equivalent to a Gaussian white noise experiment, provided the densities are sufficiently smooth and…