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Statistical Laboratory

Publications

Estimation beyond Missing (Completely) at Random
T Ma, KA Verchand, TB Berrett, T Wang, RJ Samworth
(2024)
High-probability minimax lower bounds
T Ma, KA Verchand, RJ Samworth
(2024)
Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning
T Wang, E Dobriban, M Gataric, R Samworth
– Journal of the American Statistical Association
(2024)
ahead-of-print,
1
A new computational framework for log-concave density estimation
W Chen, R Mazumder, RJ Samworth
– Mathematical Programming Computation
(2024)
16,
185
Optimal convex $M$-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
(2024)
Optimal subgroup selection
HWJ Reeve, TI Cannings, RJ Samworth
– Annals of Statistics
(2023)
51,
2342
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
– J Am Stat Assoc
(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)
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Frontpage talks

13
Mar
16:00 - 17:00: Title to be confirmed
Peter Whittle Lecture

13
Mar
16:00 - 17:00: Title to be confirmed
Peter Whittle Lecture

Research Group

Statistical Laboratory

Room

D1.18

Telephone

01223 337950