Professor
Research Interests: High-dimensional statistics and large-scale data analysis
Publications
Modelling High-Dimensional Categorical Data using Nonconvex Fusion Penalties
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2021)
83,
579
(doi: 10.1111/rssb.12432)
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
– Annals of Applied Statistics
(2021)
15,
363
(doi: 10.1214/20-AOAS1401)
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis
(2021)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
(2020)
The hardness of conditional independence testing and the generalised covariance measure
– Annals of Statistics
(2020)
48,
1514
(doi: 10.1214/19-AOS1857)
Goodness-of-fit testing in high dimensional generalized linear models
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2020)
82,
773
(doi: 10.1111/rssb.12371)
Right Singular Vector Projection Graphs: Fast High Dimensional Covariance Matrix Estimation under Latent Confounding
– Journal of the Royal Statistical Society Series B Statistical Methodology
(2020)
82,
361
(doi: 10.1111/rssb.12359)
Double-estimation-friendly inference for high-dimensional misspecified models
(2019)
Challenges in comparing physical abuse, fractures and metabolic bone disease in young children in the UK and Sweden.
– Arch Dis Child
(2019)
104,
1122.2
Multicentre study of physical abuse and limb fractures in young children in the East Anglia Region, UK
– Arch Dis Child
(2019)
104,
956
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