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Department of Pure Mathematics and Mathematical Statistics

Professor of Statistics and Director of Statistical Laboratory

Research Interests: Nonparametric and high-dimensional statistics

Publications

Adaptation in log-concave density estimation
AKH Kim, A Guntuboyina, RJ Samworth
– Annals of Statistics
(2018)
46,
2279
A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis
JS Bødker, RF Brøndum, A Schmitz, AA Schönherz, DS Jespersen, M Sønderkær, C Vesteghem, H Due, CH Nørgaard, M Perez-Andres, MK Samur, F Davies, B Walker, C Pawlyn, M Kaiser, D Johnson, U Bertsch, A Broyl, M van Duin, R Shah, P Johansen, MA Nørgaard, RJ Samworth, P Sonneveld, H Goldschmidt, GJ Morgan, A Orfao, N Munshi, HE Johnson, T El-Galaly, K Dybkær, M Bøgsted
– Blood Adv
(2018)
2,
2400
Confidence intervals for high-dimensional Cox models
Y Yu, J Bradic, RJ Samworth
– Statistica Sinica
(2018)
31,
243
Comments on: High-dimensional simultaneous inference with the bootstrap
RA Lockhart, RJ Samworth
– Test
(2017)
26,
734
Random projection ensemble classification
TI Cannings, RJ Samworth
– Journal of the Royal Statistical Society. Series B: Statistical Methodology
(2017)
79,
959
High dimensional change point estimation via sparse projection
T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2017)
80,
57
Handbook of Big Data
RJ Samworth
– Statistics in Medicine
(2016)
35,
5736
Global rates of convergence in log-concave density estimation
AKH Kim, RJ Samworth
– The Annals of Statistics
(2016)
44,
2756
Statistical and computational trade-offs in estimation of sparse principal components
T Wang, Q Berthet, RJ Samworth
– The Annals of Statistics
(2016)
44,
1896
Peter Hall’s work on high-dimensional data and classification
RJ Samworth
– The Annals of Statistics
(2016)
44,
1888
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Room

D1.18

Telephone

01223 337950