Professor Richard Samworth | Department of Pure Mathematics and Mathematical Statistics

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Professor of Statistics and Director of Statistical Laboratory

Research Interests: Nonparametric and high-dimensional statistics

Publications

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)

Estimation beyond Missing (Completely) at Random

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

(2024)

(link to publication)

High-probability minimax lower bounds

T Ma, KA Verchand, RJ Samworth

(2024)

(link to publication)

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

(doi: 10.1080/01621459.2024.2340792)

A new computational framework for log-concave density estimation

W Chen, R Mazumder, RJ Samworth

– Mathematical Programming Computation

(2024)

16,

185

(doi: 10.1007/s12532-024-00252-0)

Optimal convex $M$-estimation via score matching

OY Feng, Y-C Kao, M Xu, RJ Samworth

(2024)

(link to publication)

Optimal subgroup selection

HWJ Reeve, TI Cannings, RJ Samworth

– Annals of Statistics

(2023)

51,

2342

(doi: 10.1214/23-AOS2328)

Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility

TB Berrett, RJ Samworth

– Annals of Statistics

(2023)

51,

2170

(doi: 10.1214/23-AOS2326)

Inference in High-Dimensional Online Changepoint Detection.

Y Chen, T Wang, RJ Samworth

– J Am Stat Assoc

(2023)

ahead-of-print,

1

(doi: 10.1080/01621459.2023.2199962)