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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

Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
TB Berrett, RJ Samworth
– Annals of Statistics
(2023)
51,
2170
Inference in High-Dimensional Online Changepoint Detection
Y Chen, T Wang, RJ Samworth
– Journal of the American Statistical Association
(2023)
ahead-of-print,
1
Isotonic subgroup selection
MM Müller, HWJ Reeve, TI Cannings, RJ Samworth
(2023)
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning
T Wang, E Dobriban, M Gataric, RJ Samworth
(2023)
Efficient functional estimation and the super-oracle phenomenon
TB Berrett, RJ Samworth
– Annals of Statistics
(2023)
51,
668
High-dimensional principal component analysis with heterogeneous missingness
Z Zhu, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2022)
84,
2000
High-dimensional changepoint estimation with heterogeneous missingness
B Follain, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2022)
84,
1023
A Unifying Tutorial on Approximate Message Passing.
OY Feng, R Venkataramanan, C Rush, RJ Samworth
– Found. Trends Mach. Learn.
(2022)
abs/2105.02180,
335
Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
TB Berrett, RJ Samworth
(2022)
Nonparametric, Tuning-Free Estimation of S-Shaped Functions
OY Feng, Y Chen, Q Han, RJ Carroll, RJ Samworth
– Journal of the Royal Statistical Society. Series B: Statistical Methodology
(2022)
84,
1324
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Room

D1.18

Telephone

01223 337950