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- Currently displaying 81 - 100 of 2147 publications
Nonparametric regression on random geometric graphs sampled from submanifolds
– Journal of machine learning research
(2025)
David Spiegelhalter's contribution to the Discussion of 'Some statistical aspects of the COVID-19 response' by Wood et al.
– Journal of the Royal Statistical Society Series A (Statistics in Society)
(2025)
189,
107
(doi: 10.1093/jrsssa/qnaf105)
Are all models wrong? Fundamental limits in distribution-free empirical model falsification
– Proceedings of Thirty Eighth Conference on Learning Theory
(2025)
(doi: 10.17863/CAM.131377)
Characterizing the standardization properties of type ia supernovae in the z band with hierarchical Bayesian modelling
– Monthly Notices of the Royal Astronomical Society
(2025)
541,
1948
(doi: 10.1093/mnras/staf1056)
Cutoff for random walk on random graphs with a community structure
– The Annals of Applied Statistics
(2025)
35,
2080
(doi: 10.1214/25-aap2166)
Local times and capacity for transient branching random walks
– Probability Theory and Related Fields
(2025)
194,
1443
(doi: 10.1007/s00440-025-01378-5)
DAmodel: Hierarchical Bayesian Modelling of DA White Dwarfs for Spectrophotometric Calibration
– Monthly Notices of the Royal Astronomical Society
(2025)
540,
staf629
(doi: 10.1093/mnras/staf629)
A Theoretical Review of Modern Robust Statistics
– Annual Review of Statistics and Its Application
(2025)
12,
477
A Pipeline for Automated Quality Control of Chest Radiographs
– Radiology Artificial Intelligence
(2025)
7,
e240003
(doi: 10.1148/ryai.240003)
Dominic Welsh (1938–2023)
– Bulletin of the London Mathematical Society
(2025)
57,
992
(doi: 10.1112/blms.13224)
Bayesian nonparametric inference in McKean–Vlasov models
– The Annals of Statistics
(2025)
53,
170
(doi: 10.1214/24-aos2459)
Cross-validation for change-point regression: Pitfalls and solutions
– Bernoulli
(2025)
31,
388
(doi: 10.3150/24-BEJ1732)
Evidence Communication Rules for Policy (ECR-P) critical appraisal tool
– Systematic reviews
(2025)
14,
10
(doi: 10.1186/s13643-025-02757-8)
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
(2025)
(doi: 10.48550/arxiv.2203.04341)