Professor of Statistics and Director of Statistical Laboratory
Research Interests: Nonparametric and high-dimensional statistics
Publications
High-dimensional principal component analysis with heterogeneous missingness
– Journal of the Royal Statistical Society. Series B: Statistical Methodology
(2022)
84,
2000
(DOI: 10.1111/rssb.12550)
High-dimensional changepoint estimation with heterogeneous missingness
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2022)
84,
1023
(DOI: 10.1111/rssb.12540)
A unifying tutorial on Approximate Message Passing
– Foundations and Trends® in Machine Learning
(2022)
15,
335
(DOI: 10.1561/2200000092)
Optimal nonparametric testing of Missing Completely At Random, and its
connections to compatibility
(2022)
Nonparametric, tuning‐free estimation of S‐shaped functions
– Journal of the Royal Statistical Society: Series B (Statistical Methodology)
(2022)
84,
1324
(DOI: 10.1111/rssb.12481)
Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission
– Nat Commun
(2022)
13,
751
(DOI: 10.1038/s41467-021-27942-w)
Isotonic regression with unknown permutations: Statistics, computation and adaptation
– The Annals of Statistics
(2022)
50,
324
(DOI: 10.1214/21-aos2107)
High‐dimensional, multiscale online changepoint detection
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2022)
84,
234
(DOI: 10.1111/rssb.12447)
High-Dimensional, Multiscale Online Changepoint Detection
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2022)
84,
234
(DOI: 10.1111/rssb.12447)
USP: an independence test that improves on Pearson's chi-squared and the $G$-test
– Proceedings. Mathematical, physical, and engineering sciences
(2021)
477,
20210549
(DOI: 10.1098/rspa.2021.0549)
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