My research interests include Bayesian nonparametric statistics, variational inference, causal inference, inverse problems and asymptotic statistics.
Ray K, van der Vaart A, 2021, On the Bernstein-von Mises theorem for the Dirichlet process, Electronic Journal of Statistics, ISSN:1935-7524
Ray K, Szabó B, 2020, Variational Bayes for high-dimensional linear regression with sparse priors, Journal of the American Statistical Association, ISSN:0162-1459, Pages:1-31
Ray K, van der Vaart A, 2020, Semiparametric Bayesian causal inference, Annals of Statistics, Vol:48, ISSN:0090-5364, Pages:2999-3020
Nickl R, Ray K, 2020, Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions, Annals of Statistics, Vol:48, ISSN:0090-5364, Pages:1383-1408
Ray K, Szabo B, Clara G, Spike and slab variational Bayes for high dimensional logistic regression, 34th Conference on Neural Information Processing Systems