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Faculty of Mathematics

 

 

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
E Lila, JAD Aston
– The Annals of Applied Statistics
(2022)
16,
Eigen-Adjusted Functional Principal Component Analysis
C-R Jiang, E Lila, J Aston, J-L Wang
– Journal of Computational and Graphical Statistics
(2022)
31,
1141
Representation and reconstruction of covariance operators in linear inverse problems
E Lila, S Arridge, JAD Aston
– Inverse Problems
(2020)
36,
085002
A variational model dedicated to joint segmentation, registration, and atlas generation for shape analysis
N Debroux, J Aston, F Bonardi, A Forbes, C Le Guyader, M Romanchikova, CB Schonlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
351
Accurate autocorrelation modelling substantially improves fMRI reliability
W Olszowy, J Aston, C Rua, GB Williams
– Nat Commun
(2019)
10,
1220
Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain”
S Tavakoli, D Pigoli, JAD Aston, JS Coleman
– Journal of the American Statistical Association
(2019)
114,
1103
Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging
E Lila, JAD Aston
– Journal of the American Statistical Association
(2019)
115,
1
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
S Tavakoli, D Pigoli, JAD Aston, JS Coleman
– Journal of the American Statistical Association
(2019)
114,
1081
Aβ-induced vulnerability propagates via the brain's default mode network.
TA Pascoal, S Mathotaarachchi, MS Kang, S Mohaddes, M Shin, AY Park, MJ Parent, AL Benedet, M Chamoun, J Therriault, H Hwang, AC Cuello, B Misic, J-P Soucy, JAD Aston, S Gauthier, P Rosa-Neto
– Nature Communications
(2019)
10,
2353
Accurate autocorrelation modeling substantially improves fMRI reliability (vol 10, 1220, 2019)
W Olszowy, J Aston, C Rua, GB Williams
– Nat Commun
(2019)
10,
1511
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Research Groups

Cantab Capital Institute for the Mathematics of Information
Centre for Mathematical Imaging in Healthcare
Statistical Laboratory

Room

D1.03

Telephone

01223 766535