Kolyan Ray
Kolyan Ray
Senior Lecturer in Statistics, Imperial College London
E-mail megerősítve itt: ic.ac.uk - Kezdőlap
Hivatkozott rá
Hivatkozott rá
Bayesian inverse problems with non-conjugate priors
K Ray
Electronic Journal of Statistics 7, 2516-2549, 2013
Variational Bayes for high-dimensional linear regression with sparse priors
K Ray, B Szabó
Journal of the American Statistical Association 117 (539), 1270-1281, 2022
Adaptive Bernstein-von Mises theorems in Gaussian white noise
K Ray
The Annals of Statistics 45 (6), 2511-2536, 2017
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions
R Nickl, K Ray
The Annals of Statistics 48 (3), 1383-1408, 2020
Semiparametric Bayesian causal inference
K Ray, A van der Vaart
Annals of Statistics 48 (5), 2999-3020, 2020
Spike and slab variational Bayes for high dimensional logistic regression
K Ray, B Szabo, G Clara
Advances in Neural Information Processing Systems 33, 2020
Minimax theory for a class of non-linear statistical inverse problems
K Ray, J Schmidt-Hieber
Inverse Problems 32 (6), 065003, 2016
Debiased Bayesian inference for average treatment effects
K Ray, B Szabó
Advances in Neural Information Processing Systems, 11952-11962, 2019
Nonparametric Bayesian inference for reversible multidimensional diffusions
M Giordano, K Ray
The Annals of Statistics 50 (5), 2872-2898, 2022
The Le Cam distance between density estimation, Poisson processes and Gaussian white noise
K Ray, J Schmidt-Hieber
Mathematical Statistics and Learning 1 (2), 101-170, 2018
A Bayesian nonparametric approach to log-concave density estimation
E Mariucci, K Ray, B Szabó
Bernoulli 26 (2), 1070-1097, 2020
A regularity class for the roots of nonnegative functions
K Ray, J Schmidt-Hieber
Annali di Matematica Pura ed Applicata 196 (6), 2091–2103, 2017
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
M Komodromos, EO Aboagye, M Evangelou, S Filippi, K Ray
Bioinformatics, 2022
On the Bernstein-von Mises theorem for the Dirichlet process
K Ray, A van der Vaart
Electronic Journal of Statistics 15 (1), 2224-2246, 2021
Asymptotic nonequivalence of density estimation and Gaussian white noise for small densities
K Ray, J Schmidt-Hieber
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 55 (4 …, 2019
Asymptotic theory for Bayesian nonparametric procedures in inverse problems
KM Ray
University of Cambridge, 2015
On the inability of Gaussian process regression to optimally learn compositional functions
M Giordano, K Ray, J Schmidt-Hieber
Advances in Neural Information Processing Systems 35, 22341-22353, 2022
Semiparametric inference using fractional posteriors
A L'Huillier, L Travis, I Castillo, K Ray
arXiv preprint arXiv:2301.08158, 2023
Bayesian estimation in a multidimensional diffusion model with high frequency data
M Hoffmann, K Ray
arXiv preprint arXiv:2211.12267, 2022
A Bayesian approach for the modelling of material stocks and flows with incomplete data
J Wang, K Ray, P Brito-Parada, Y Plancherel, T Bide, J Mankelow, ...
arXiv preprint arXiv:2211.06178, 2022
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