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Statistical Laboratory

Publications

Change-point regression with a smooth additive disturbance
F Pein, RD Shah
(2021)
Cross-validation for change-point regression: pitfalls and solutions
F Pein, RD Shah
(2021)
Structure Learning for Directed Trees
ME Jakobsen, RD Shah, P Bühlmann, J Peters
(2021)
Modelling High-Dimensional Categorical Data using Nonconvex Fusion Penalties
BG Stokell, RD Shah, RJ Tibshirani
– Journal of the Royal Statistical Society Series B Statistical Methodology
(2021)
83,
579
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
Q Zhao, N Ju, S Bacallado, RD Shah
– Annals of Applied Statistics
(2021)
15,
363
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis
AR Lundborg, RD Shah, J Peters
(2021)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
Y Wang, RD Shah
(2020)
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure
RD Shah, J Peters
– The Annals of Statistics
(2020)
48,
1514
Goodness-of-fit testing in high dimensional generalized linear models
J Janková, RD Shah, P Bühlmann, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2020)
82,
773
Right singular vector projection graphs: fast high dimensional covariance matrix estimation under latent confounding
RD Shah, B Frot, G-A Thanei, N Meinshausen
– Journal of the Royal Statistical Society Series B Statistical Methodology
(2020)
82,
361
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Frontpage talks

Cambridge Statistics Clinic

Statistics

Peter Whittle Lecture

Peter Whittle Lecture

Statistics

Research Group

Statistical Laboratory

Room

D1.15

Telephone

01223 765923