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Department of Pure Mathematics and Mathematical Statistics

 

Professor of Mathematical Statistics

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

 

 

Publications

On statistical inference for non-linear dynamical systems evolving in their global attractor
R Nickl, D Konen
– Arxiv
Data assimilation with the 2D Navier-Stokes equations: Optimal Gaussian asymptotics for the posterior measure
R Nickl, D Konen
– Annals of Statistics
On statistical inference for non-linear dynamical systems evolving in their global attractor
R Nickl
Data assimilation with the 2D Navier-Stokes equations: Optimal Gaussian asymptotics for the posterior measure
R Nickl
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Research Groups

Statistical Laboratory
Statistics

Room

D2.05

Telephone

01223 765020