Professor (Grade 11)
Research Interests: High-dimensional statistics and large-scale data analysis
Publications
The Projected Covariance Measure for assumption-lean variable
significance testing
(2022)
Conditional independence testing in Hilbert spaces with applications to functional data analysis
– Journal of the Royal Statistical Society. Series B: Statistical Methodology
(2022)
84,
1821
(DOI: 10.1111/rssb.12544)
High-dimensional regression with potential prior information on variable importance
– Statistics and Computing
(2022)
32,
52
(DOI: 10.1007/s11222-022-10110-5)
Structure Learning for Directed Trees
– Journal of Machine Learning Research
(2022)
23,
Cross-validation for change-point regression: pitfalls and solutions
(2021)
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
– The Annals of Statistics
(2020)
48,
1514
(DOI: 10.1214/19-AOS1857)
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