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Statistical Laboratory

Publications

Cross-validation for change-point regression: Pitfalls and solutions
F Pein, RD Shah
– Bernoulli
(2025)
31,
388
The projected covariance measure for assumption-lean variable significance testing
AR Lundborg, I Kim, RD Shah, RJ Samworth
– Annals of Statistics
(2024)
52,
2851
ROSE Random Forests for Robust Semiparametric Efficient Estimation
EH Young, RD Shah
(2024)
Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders
Y Wang, RD Shah
– Annals of Statistics
(2024)
52,
1978
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
FR Guo, RD Shah
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2024)
87,
256
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
EH Young, RD Shah
– Journal of The Royal Statistical Society Series B-statistical Methodology
(2024)
86,
1286
Average partial effect estimation using double machine learning
H Klyne, RD Shah
(2023)
Functional unknomics: Systematic screening of conserved genes of unknown function.
JJ Rocha, SA Jayaram, TJ Stevens, N Muschalik, RD Shah, S Emran, C Robles, M Freeman, S Munro
– PLOS Biology
(2023)
21,
e3002222
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
EH Young, RD Shah
(2023)
Double-estimation-friendly inference for high-dimensional misspecified models
RD Shah, P Bühlmann
– Statistical Science
(2023)
38,
68
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Frontpage talks

04
Nov
14:00 - 15:00: Games on trees
Probability

Cambridge Statistics Clinic

Statistics

14
Nov
14:00 - 15:00: Title to be confirmed
Statistics

Research Group

Statistical Laboratory

Room

D1.15

Telephone

01223 765923