Summary
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.
Publications
Journals
Wang J, Ray K, Brito-Parada P, et al., 2022, A Bayesian approach for the modelling of material stocks and flows with incomplete data, Arxiv
Giordano M, Ray K, 2022, Nonparametric Bayesian inference for reversible multi-dimensional diffusions, Annals of Statistics, Vol:50, ISSN:0090-5364, Pages:2872-2898
Ray K, Szabó B, 2022, Variational Bayes for high-dimensional linear regression with sparse priors, Journal of the American Statistical Association, Vol:117, ISSN:0162-1459, Pages:1270-1281
Komodromos M, Aboagye EO, Evangelou M, et al., 2022, Variational Bayes for high-dimensional proportional hazards models with applications within gene expression, Bioinformatics, Vol:38, ISSN:1367-4803, Pages:3918-3926
Conference
Giordano M, Ray K, Schmidt-Hieber J, 2022, On the inability of Gaussian process regression to optimally learn compositional functions, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Pages:1-13, ISSN:1049-5258