Harding Professor of Statistics in Public Life
Research Interests: Statistics: in particular Functional / Object Data Analysis, Time Series Analysis, Official and Public Policy Statistics, Statistical Neuroimaging, Statistical Linguistics, Seasonal Adjustment and other Applied Statistics
Publications
Functional random effects modeling of brain shape and connectivity
– The Annals of Applied Statistics
(2022)
16,
(doi: 10.1214/21-AOAS1572)
Eigen-Adjusted Functional Principal Component Analysis
– Journal of Computational and Graphical Statistics
(2022)
31,
1141
Representation and reconstruction of covariance operators in linear inverse problems
– Inverse Problems
(2020)
36,
085002
(doi: 10.1088/1361-6420/ab8713)
A variational model dedicated to joint segmentation, registration, and atlas generation for shape analysis
– SIAM Journal on Imaging Sciences
(2020)
13,
351
(doi: 10.1137/19M1271907)
Accurate autocorrelation modeling substantially improves fMRI reliability.
– Nat Commun
(2019)
10,
1220
(doi: 10.1038/s41467-019-09230-w)
Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain”
– Journal of the American Statistical Association
(2019)
114,
1103
Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging
– Journal of the American Statistical Association
(2019)
115,
1420
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
– Journal of the American Statistical Association
(2019)
114,
1081
Aβ-induced vulnerability propagates via the brain’s default mode network
– Nature communications
(2019)
10,
2353
(doi: 10.1038/s41467-019-10217-w)
Publisher Correction: Accurate autocorrelation modeling substantially improves fMRI reliability
– Nature communications
(2019)
10,
1511
(doi: 10.1038/s41467-019-09619-7)
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