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Department of Pure Mathematics and Mathematical Statistics

Professor of Statistics

Research Interests: Statistics: in particular Functional / Object Data Analysis, Time Series Analysis, Statistical Neuroimaging, Statistical Linguistics, Seasonal Adjustment and other Applied Statistics

Publications

Accurate autocorrelation modeling substantially improves fMRI reliability.
W Olszowy, J Aston, C Rua, GB Williams
– Nature Communications
(2019)
10,
1220
Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging
E Lila, JAD Aston
– Journal of the American Statistical Association
(2019)
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
Accurate autocorrelation modeling substantially improves fMRI reliability (vol 10, 1220, 2019)
W Olszowy, J Aston, C Rua, GB Williams
– Nat Commun
(2019)
10,
1511
A data-centric bottom up model for generation of stochastic internal load profiles based on space-use type
RM Ward, R Choudhary, Y Heo, JAD Aston
– Journal of Building Performance Simulation
(2019)
12,
620
Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers
Y Wang, B Dai, G Hua, J Aston, D Wipf
– IEEE Journal of Selected Topics in Signal Processing
(2018)
12,
1615
The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages
D Pigoli, PZ Hadjipantelis, JS Coleman, JAD Aston
– Journal of the Royal Statistical Society: Series C (Applied Statistics)
(2018)
67,
1103
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models
B Dai, Y Wang, J Aston, G Hua, D Wipf
– Journal of Machine Learning Research
(2018)
19,
1
Inference on Covariance Operators via Concentration Inequalities: k-sample Tests, Classification, and Clustering via Rademacher Complexities
AB Kashlak, JAD Aston, R Nickl
– Sankhya: The Indian Journal of Statistics
(2019)
81,
214
Minimax optimal procedures for testing the structure of multidimensional functions
J Aston, F Autin, G Claeskens, J-M Freyermuth, C Pouet
– Applied and Computational Harmonic Analysis
(2019)
46,
288
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Room

D1.03

Telephone

01223 766535