skip to content

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 modelling 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
Publisher Correction: Accurate autocorrelation modeling substantially improves fMRI reliability
W Olszowy, J Aston, C Rua, GB Williams
– Nature Communications
(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,
1
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
Inference on Covariance Operators via Concentration Inequalities: k-sample Tests, Classification, and Clustering via Rademacher Complexities
AB Kashlak, JAD Aston, R Nickl
– Sankhya A
(2019)
81,
214
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
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
Divide-and-Conquer With Sequential Monte Carlo
F Lindsten, AM Johansen, CA Naesseth, B Kirkpatrick, TB Schön, JAD Aston, A Bouchard-Côté
– Journal of Computational and Graphical Statistics
(2017)
26,
445
  • 1 of 8
  • >

Room

D1.03

Telephone

01223 766535