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  • Currently displaying 1 - 20 of 2072 publications
Normal or transitional? The evolution and properties of two type Ia supernovae in the Virgo cluster
L Izzo, C Gall, N Khetan, N Earl, J Hjorth, WB Hoogendam, YQ Ni, A Sedgewick, SM Ward, Y Zenati, K Auchettl, S Bhattacharjee, S Benetti, M Branchesi, E Cappellaro, A Catapano, KC Chambers, DA Coulter, KW Davis, M Della Valle, S Dhawan, T de Boer, G Dimitriadis, RJ Foley, M Fulton, H Gao, WJ Hon, ME Huber, DO Jones, CD Kilpatrick, CC Lin, TB Lowe, EA Magnier, KS Mandel, R Margutti, G Narayan, P Ochner, YC Pan, A Reguitti, C Rojas-Bravo, M Siebert, SJ Smartt, KW Smith, S Srivastav, JJ Swift, K Taggart, G Terreran, S Thorp, L Tomasella, RJ Wainscoat
– Astronomy & Astrophysics
(2026)
706,
A381
(doi: 10.1051/0004-6361/202556425)
Optimization-based Sensitivity Analysis for Unmeasured Confounding using Partial Correlations
T Freidling, Q Zhao
– Journal of Computational And Graphical Statistics (JCGS)
(2026)
ahead-of-print,
1
(doi: 10.1080/10618600.2025.2573156)
Identifying microbial protease allergens through protein language model-guided homology.
K Thurimella, E Wu, C Li, DB Graham, RM Owens, DR Plichta, CL Sokol, RJ Xavier, S Bacallado
– Cell Systems
(2026)
101510
(doi: 10.1016/j.cels.2025.101510)
BayeSN-TD: Time Delay and H0 Estimation for Lensed SN H0pe
M Grayling, S Thorp, KS Mandel, M Pascale, JDR Pierel, EE Hayes, C Larison, A Agrawal, G Narayan
– Monthly Notices of the Royal Astronomical Society
(2026)
stag340
(doi: 10.1093/mnras/stag340)
Optimal convex M-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
– Annals of Statistics
(2026)
54,
408
(doi: 10.1214/25-aos2572)
Confounder selection via iterative graph expansion
FR Guo, Q Zhao
– The Annals of Statistics
(2026)
54,
516
(doi: 10.1214/25-aos2577)
Efficient and Minimax-optimal In-context Nonparametric Regression with Transformers
M Ching, I Popescu, N Smith, T Ma, WG Underwood, RJ Samworth
(2026)
(link to publication)
On gradient stability in nonlinear PDE models and inference in interacting particle systems
A Castre, R Nickl
– arxiv preprint
(2026)
(doi: 10.48550/arXiv.2601.10326)
Entropic Additive Energy and Entropy Inequalities for Sums and Products
R Li, L Gavalakis, I Kontoyiannis
– IEEE Transactions on Information Theory
(2026)
72,
1
(doi: 10.1109/TIT.2026.3653549)
The Sample Complexity of Lossless Data Compression
T Viaud, I Kontoyiannis
(2026)
(link to publication)
On counting polygons in a crystal
GR Grimmett
(2026)
(link to publication)
Data-driven controlled subgroup selection in clinical trials
MM Müller, B Bornkamp, F Bretz, TI Cannings, W Liu, HWJ Reeve, RJ Samworth, N Sfikas, F Wan, K Sechidis
(2025)
(link to publication)
Learning the score under shape constraints
RM Lewis, OY Feng, HWJ Reeve, M Xu, RJ Samworth
(2025)
(link to publication)
The distance problem via subadditivity
R Gross
– Annales Henri Lebesgue
(2025)
8,
1023
(doi: 10.5802/ahl.254)
Inference with Mondrian random forests
MD Cattaneo, JM Klusowski, WG Underwood
– Journal of the Royal Statistical Society Series B Statistical Methodology
(2025)
qkaf077
(doi: 10.1093/jrsssb/qkaf077)
The lost boarding pass and other practical problems
GR Grimmett, DR Stirzaker
– The Mathematical Gazette
(2025)
105,
216
(doi: 10.1017/mag.2021.49)
Shakespeare, Entropy and Educated Monkeys
I Kontoyiannis
(2025)
(link to publication)
Short-term animal product dietary restriction alters metabolic profiles and modulates immune function.
EM Loizidou, A Palaiokrassa, SO Asiedu, A Simistiras, P Barmpounakis, S Glentis, M Anezaki, KV Bergersen, I Chatzimichalis, E Kotsanopoulou, I Kontoyiannis, N Demiris, P Rouskas, N Scarmeas, M Yannakoulia, M Verykokakis, MG Nair, K Rouskas, AS Dimas
– Commun Med (Lond)
(2025)
6,
16
(doi: 10.1038/s43856-025-01274-y)
Data-driven dust inference at mid-to-high Galactic latitudes using probabilistic machine learning
M O’Callaghan, KS Mandel, G Gilmore
– Monthly Notices of the Royal Astronomical Society
(2025)
546,
staf2147
(doi: 10.1093/mnras/staf2147)
Accuracy and clinical effectiveness of fetal growth monitoring strategies for the prediction of small for gestational age at birth: a systematic review and meta-analysis.
E Danopoulos, N Armstrong, K McDermott, J Chen, X Tian, C Noake, M Westwood
– Health Technol Assess
(2025)
29,
1
(doi: 10.3310/AJLK7403)

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Cambridge Statistics Clinic
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