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Statistical Laboratory

Publications

Average partial effect estimation using double machine learning
H Klyne, RD Shah
(2023)
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
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
FR Guo, RD Shah
(2023)
The Projected Covariance Measure for assumption-lean variable significance testing
AR Lundborg, I Kim, RD Shah, RJ Samworth
(2022)
Conditional independence testing in Hilbert spaces with applications to functional data analysis
AR Lundborg, RD Shah, J Peters
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2022)
84,
1821
High-dimensional regression with potential prior information on variable importance
BG Stokell, RD Shah
– Statistics and Computing
(2022)
32,
52
Structure Learning for Directed Trees
ME Jakobsen, RD Shah, P Bühlmann, J Peters
– Journal of Machine Learning Research
(2022)
23,
Cross-validation for change-point regression: pitfalls and solutions
F Pein, RD Shah
– Bernoulli
(2021)
Cross-validation for change-point regression: pitfalls and solutions
F Pein, RD Shah
(2021)
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Frontpage talks

Cambridge Statistics Clinic

Cambridge Statistics Clinic

Cambridge Statistics Clinic

Statistics

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

Research Group

Statistical Laboratory

Room

D1.15

Telephone

01223 765923