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The Statistics Clinic

 

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

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
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,
1420
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
Publisher Correction: Accurate autocorrelation modeling substantially improves fMRI reliability (Nature Communications, (2019), 10, 1, (1220), 10.1038/s41467-019-09230-w)
W Olszowy, J Aston, C Rua, GB Williams
– Nature Communications
(2019)
10,
1511
Accurate autocorrelation modeling substantially improves fMRI reliability
W Olszowy, J Aston, C Rua, GB Williams
– Nature communications
(2019)
10,
1220
A data-centric bottom up model for generation of stochastic internal load profiles based on space-use type
R Ward, R Choudhary, Y Heo, J Aston
– Journal of Building Performance Simulation
(2019)
12,
1
Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers
Y Wang, B Dai, G Hua, JAD Aston, D Wipf
– IEEE Journal of Selected Topics in Signal Processing
(2018)
12,
1615
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Research Group

Statistics Clinic

Room

D1.03

Telephone

01223 766535