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Department of Applied Mathematics and Theoretical Physics

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Research Interests:

Publications

Deep Gaussian Process Priors for Bayesian Inference in Nonlinear Inverse Problems
K Abraham, N Deo
(2023)
Sharp multiple testing boundary for sparse sequences
K Abraham, I Castillo, E Roquain
(2021)
Fundamental limits for learning hidden Markov model parameters
K Abraham, Z Naulet, E Gassiat
(2021)
Empirical Bayes cumulative $\ell$-value multiple testing procedure for sparse sequences
K Abraham, I Castillo, E Roquain
(2021)
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
K Abraham, I Castillo, E Gassiat
(2021)
Nonparametric Bayesian posterior contraction rates for scalar diffusions with high-frequency data
K Abraham
– Bernoulli
(2019)
25,
2696
On statistical Calderón problems
K Abraham, R Nickl
(2019)
Nonparametric Bayesian posterior contraction rates for scalar diffusions with high-frequency data
K Abraham
(2018)

Research Groups

Cambridge Image Analysis
Statistical Laboratory

Room

D2.01