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Department of Pure Mathematics and Mathematical Statistics

 

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

SurvSurf: a partially monotonic neural network for first-hitting time prediction of intermittently observed discrete and continuous sequential events
YK Chen, S Dittmer, K Bernatowicz, J Arús-Pous, K Bliznashki, J Aston, JHF Rudd, C-B Schönlieb, J Jones, M Roberts
– RSS Data Science and Artificial Intelligence
(2026)
udag002
Blurring evidence with advocacy: a systematic review of policy recommendations for net zero
E Danopoulos, A Shah, CR Schneider, JAD Aston
– NPJ Environ Soc Sci
(2026)
1,
6
Blurring evidence with advocacy: a systematic review of policy recommendations for net zero
E Danopoulos, A Shah, CR Schneider, JAD Aston
– npj Environmental Social Sciences
(2026)
1,
6
Symmetry: A general structure in nonparametric regression
LG Christie, JAD Aston
– The Annals of Statistics
(2025)
53,
2040
Estimating Maximal Symmetries of Regression Functions via Subgroup Lattices
LG Christie, JAD Aston
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2025)
87,
1576
A Pipeline for Automated Quality Control of Chest Radiographs.
IA Selby, E González Solares, A Breger, M Roberts, L Escudero Sánchez, J Babar, JHF Rudd, NA Walton, E Sala, C-B Schönlieb, JR Weir-McCall, AIX-COVNET Collaboration
– Radiol Artif Intell
(2025)
7,
e240003
Evidence Communication Rules for Policy (ECR-P) critical appraisal tool
E Danopoulos, JAD Aston, A Shah, CR Schneider
– Syst Rev
(2025)
14,
10
Measuring the Unmeasurable: Estimating True Population of Hidden Online Communities
J Gibbon, T Marjanov, A Hutchings, J Aston
– Proceedings - 9th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2024
(2024)
6,
56
Recent methodological advances in federated learning for healthcare.
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, BloodCounts! consortium, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
– Patterns (New York, N.Y.)
(2024)
5,
101006
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
(2023)
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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