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Currently displaying 81 - 100 of 2119 publications

Sharp Anti-Concentration Inequalities for Extremum Statistics via Copulas

MD Cattaneo, RP Masini, WG Underwood

(2025)

(link to publication)

Dominic Welsh (1938–2023)

GR Grimmett

– Bulletin of the London Mathematical Society

(2025)

57,

992

(doi: 10.1112/blms.13224)

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

– Radiology: Artificial Intelligence

(2025)

e240003

(doi: 10.1148/ryai.240003)

Bayesian nonparametric inference in McKean–Vlasov models

R Nickl, GA Pavliotis, K Ray

– The Annals of Statistics

(2025)

53,

170

(doi: 10.1214/24-aos2459)

Cross-validation for change-point regression: Pitfalls and solutions

F Pein, RD Shah

– Bernoulli

(2025)

31,

388

(doi: 10.3150/24-BEJ1732)

Pragmatic lossless compression: Fundamental limits and universality

A Theocharous, L Gavalakis, I Kontoyiannis

(2025)

(link to publication)

Evidence Communication Rules for Policy (ECR-P) critical appraisal tool

E Danopoulos, JAD Aston, A Shah, CR Schneider

– Systematic reviews

(2025)

14,

(doi: 10.1186/s13643-025-02757-8)

Testing conditional independence under isotonicity

R Hore, JA Soloff, RF Barber, RJ Samworth

(2025)

(link to publication)

Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees

V Lungu, I Papageorgiou, I Kontoyiannis

(2025)

(doi: 10.48550/arxiv.2203.04341)

On statistical and causal models associated with acyclic directed mixed graphs

Q Zhao

(2025)

(link to publication)

Counterfactual explainability of black-box prediction models

Z Gao, Q Zhao

– Proceedings of Machine Learning Research

(2025)

275,

1174

(link to publication)

A Graphical Approach to State Variable Selection in Off-policy Learning

JB Andersen, Q Zhao

(2025)

(link to publication)

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints

H Kazemi, A Pensia, V Jog

– Proceedings of Machine Learning Research

(2025)

291,

(link to publication)

AI for Net Zero: Energy and Transport. White Paper

J Aston, E Broadway, S Laizet, L Magri, A Mole, A Nóvoa, G Rigas, G Tretola, K Vogiatzaki, M Weiland, M Weissenbacher, L Benson, E Danopoulos, I Fumarola, X Jiang, A Plaksin, D Ozan, E Essmann, M Klaisoongnoen

(2025)

(doi: 10.17863/CAM.121198)

Existence and breakdown analysis of M-quantiles in general Hilbert spaces

D Konen, D Paindaveine

– Electronic Journal of Statistics

(2025)

19,

5778

(doi: 10.1214/25-ejs2472)

Branching random walks and Minkowski sum of random walks

A Asselah, I Okada, B Schapira, P Sousi

– Probability Theory and Related Fields

(2024)

191,

1289

(doi: 10.1007/s00440-024-01352-7)

Why probability probably doesn't exist (but it is useful to act like it does).

D Spiegelhalter

– Nature

(2024)

636,

560

(doi: 10.1038/d41586-024-04096-5)

BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation.

J Zhang, W Chen, T Joshi, X Zhang, P-L Loh, V Jog, RJ Bruce, JW Garrett, AB McMillan

– Tomography

(2024)

10,

2058

(doi: 10.3390/tomography10120146)

The Multimodal Universe: 100 TB of Machine Learning Ready Astronomical Data

E Angeloudi, J Audenaert, M Bowles, BM Boyd, D Chemaly, B Cherinka, I Ciucă, M Cranmer, A Do, M Grayling, EE Hayes, T Hehir, S Ho, M Huertas-Company, KG Iyer, M Jablonska, F Lanusse, HW Leung, K Mandel, JR Martínez-Galarza, P Melchior, L Meyer, LH Parker, H Qu, J Shen, MJ Smith, M Walmsley, JF Wu, TMU Collaboration

– Research Notes of the AAS

(2024)

301

(doi: 10.3847/2515-5172/ad9a63)

The projected covariance measure for assumption-lean variable significance testing

AR Lundborg, I Kim, RD Shah, RJ Samworth

– The Annals of Statistics

(2024)

52,

2851

(doi: 10.1214/24-aos2447)