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Cantab Capital Institute for the Mathematics of Information

Professor of Statistics and Director of Statistical Laboratory

Research Interests: Nonparametric and high-dimensional statistics

Publications

Editorial: Memorial issue for Charles Stein
RJ Samworth, M Yuan
– Annals of Statistics
(2021)
49,
1811
A new computational framework for log-concave density estimation
W Chen, R Mazumder, RJ Samworth
(2021)
A unifying tutorial on Approximate Message Passing
OY Feng, R Venkataramanan, C Rush, RJ Samworth
(2021)
Bounding distributional errors via density ratios
L Dumbgen, RJ Samworth, JA Wellner
– Bernoulli
(2021)
27,
818
Single-dose BNT162b2 vaccine protects against asymptomatic SARS-CoV-2 infection
NK Jones, L Rivett, S Seaman, RJ Samworth, B Warne, C Workman, M Ferris, J Wright, N Quinnell, A Shaw, Cambridge COVID-19 Collaboration, IG Goodfellow, PJ Lehner, R Howes, G Wright, NJ Matheson, MP Weekes
– eLife
(2021)
10,
e68808
High-dimensional nonparametric density estimation via symmetry and shape constraints
M Xu, R Samworth
– The Annals of Statistics
(2021)
49,
650
Minimax rates in sparse, high-dimensional changepoint detection
H Liu, C Gao, RJ Samworth
– Annals of Statistics
(2021)
49,
1081
Adaptation in multivariate log-concave density estimation
OY Feng, A Guntuboyina, AKH Kim, RJ Samworth
– Annals of Statistics
(2021)
49,
129
Robust inference with knockoffs
RF Barber, E Candes, R Samworth
– Annals of Statistics
(2020)
48,
1409
Local nearest neighbour classification with applications to semi-supervised learning
TI Cannings, TB Berrett, RJ Samworth
– Annals of Statistics
(2020)
48,
1789
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Research Group

Cantab Capital Institute for the Mathematics of Information

Room

D1.18

Telephone

01223 337950