My research interests include Bayesian nonparametrics, variational inference, causal inference, inverse problems and asymptotic statistics.
For further details on my research, please see my website.
Ray K, van der Vaart A, 2021, On the Bernstein-von Mises theorem for the Dirichlet process, Electronic Journal of Statistics, Vol:15, ISSN:1935-7524, Pages:2224-2246
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