Professor
Research Interests: High-dimensional statistics and large-scale data analysis
Publications
Structure Learning for Directed Trees
– Journal of Machine Learning Research
(2022)
23,
Cross-validation for change-point regression: pitfalls and solutions
– Bernoulli
(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)
Debiased Inverse Propensity Score Weighting for Estimation of Average
Treatment Effects with High-Dimensional Confounders
– Annals of Statistics
(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)
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