Professor Richard Samworth

Professor of Statistics and Director of Statistical Laboratory

Research Interests: Nonparametric and high-dimensional statistics

Publications

Optimal In-context Adaptivity and Distributional Robustness of Transformers

T Ma, T Wang, RJ Samworth

(2025)

(link to publication)

Nonparametric inference under shape constraints: past, present and future

RJ Samworth

(2025)

(link to publication)

Editorial: Special Issue on "Learning Across Distribution Shifts"

S Kpotufe, RJ Samworth, Y Sun

– Statistical Science

(2025)

40,

347

(doi: 10.1214/25-sts1010)

False discovery rate control with compound p-values

RF Barber, RJ Samworth

(2025)

(link to publication)

Upgrading survival models with CARE

WG Underwood, HWJ Reeve, OY Feng, SA Lambert, B Mukherjee, RJ Samworth

(2025)

(link to publication)

Deep learning with missing data

T Ma, T Wang, RJ Samworth

(2025)

(link to publication)

Testing conditional independence under isotonicity

R Hore, JA Soloff, RF Barber, RJ Samworth

(2025)

(link to publication)

The projected covariance measure for assumption-lean variable significance testing

AR Lundborg, I Kim, RD Shah, RJ Samworth

– Annals of Statistics

(2024)

52,

2851

(doi: 10.1214/24-AOS2447)

Isotonic subgroup selection

MM Müller, HWJ Reeve, TI Cannings, RJ Samworth

– Journal of the Royal Statistical Society Series B Statistical Methodology

(2024)

87,

132

(doi: 10.1093/jrsssb/qkae083)

Estimation beyond Missing (Completely) at Random

T Ma, KA Verchand, TB Berrett, T Wang, RJ Samworth

(2024)

(link to publication)

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