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
– The 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
– The 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
– Archives of disease in childhood
(2019)
104,
1122
Multi-centre study of non-accidental injury and limb fractures in young children in the East Anglia region, UK
– Archives of disease in childhood
(2019)
104,
956
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