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Faculty of Mathematics

 

 

Professor of Mathematical Statistics

Research Interests: Mathematical Statistics; specifically high-dimensional inference, Bayesian nonparametrics, statistics for PDEs and inverse problems, empirical process theory.

 

 

Publications

Efficient estimation of linear functionals of principal components
V Koltchinskii, M Löffler, R Nickl
– Annals of Statistics
(2020)
48,
464
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems
A Carpentier, J Eisert, D Gross, R Nickl
– pp
(2019)
3,
385
On statistical Calderón problems
K Abraham, R Nickl
(2019)
Consistent Inversion of Noisy Non-Abelian X-Ray Transforms
F Monard, R Nickl, GP Paternain
(2019)
Efficient nonparametric Bayesian inference for $X$-ray transforms
F Monard, R Nickl, GP Paternain
– Annals of Statistics
(2019)
47,
1113
A Conversation with Dick Dudley
V Koltchinskii, R Nickl, P Rigollet
– Statistical Science
(2019)
34,
169
Bernstein-von Mises theorems for statistical inverse problems II: compound Poisson processes
R Nickl, J Söhl
– Electronic Journal of Statistics
(2019)
13,
3513
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems
A Carpentier, J Eisert, D Gross, R Nickl
(2019)
74,
385
Adaptive confidence sets for matrix completion
A Carpentier, O Klopp, M Löffler, R Nickl
– Bernoulli
(2018)
24,
2429
Inference on Covariance Operators via Concentration Inequalities: k-sample Tests, Classification, and Clustering via Rademacher Complexities
AB Kashlak, JAD Aston, R Nickl
– Sankhya: The Indian Journal of Statistics
(2018)
81A,
214
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Research Groups

Cantab Capital Institute for the Mathematics of Information
Statistical Laboratory

Room

D2.05

Telephone

01223 765020