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Statistical Laboratory

Publications

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
– The 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)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
Y Wang, RD Shah
– Annals of Statistics
(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, GA Thanei, N Meinshausen
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2020)
82,
361
Double-estimation-friendly inference for high-dimensional misspecified models
RD Shah, P Bühlmann
(2019)
Challenges in comparing physical abuse, fractures and metabolic bone disease in young children in the UK and Sweden.
PD Mitchell, R Brown, T Wang, RD Shah, RJ Samworth
– Archives of Disease in Childhood
(2019)
104,
1122
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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