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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

Adaptive estimation of a distribution function and its density in sup-norm loss by wavelet and spline projections
E Giné, R Nickl
– BERNOULLI
(2010)
16,
1137
CONFIDENCE BANDS IN DENSITY ESTIMATION
E Giné, R Nickl
– The Annals of Statistics
(2010)
38,
1122
UNIFORM LIMIT THEOREMS FOR WAVELET DENSITY ESTIMATORS
E Giné, R Nickl
– The Annals of Probability
(2009)
37,
1605
Uniform central limit theorems for sieved maximum likelihood and trigonometric series estimators on the unit circle
R Nickl
(2009)
5,
338
Adaptation on the space of finite signed measures
E Giné, R Nickl
– Mathematical Methods of Statistics
(2008)
17,
113
On convergence and convolutions of random signed measures
R Nickl
– Journal of Theoretical Probability
(2008)
22,
38
A simple adaptive estimator of the integrated square of a density
E Giné, R Nickl
– BERNOULLI
(2008)
14,
47
An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation
E Giné, R Nickl
– Probability Theory and Related Fields
(2008)
143,
569
Uniform central limit theorems for Kernel density estimators
E Giné, R Nickl
– Probability Theory and Related Fields
(2007)
141,
333
Bracketing metric entropy rates and empirical central limit theorems for function classes of besov- and sobolev-type
R Nickl, BM Pötscher
– Journal of Theoretical Probability
(2007)
20,
177
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Research Group

Statistical Laboratory

Room

D2.05

Telephone

01223 765020