Browse by UCL people
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Number of items: 14.
Article
Chakraborti, Tapabrata;
Banerji, Christopher RS;
Marandon, Ariane;
Hellon, Vicky;
Mitra, Robin;
Lehmann, Brieuc;
Bräuninger, Leandra;
... MacArthur, Ben; + view all
(2025)
Personalized uncertainty quantification in artificial intelligence.
Nature Machine Intelligence
, 7
pp. 522-530.
10.1038/s42256-025-01024-8.
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Jersakova, Radka;
Lomax, James;
Hetherington, James;
Lehmann, Brieuc;
Nicholson, George;
Briers, Mark;
Holmes, Chris;
(2022)
Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag.
Journal of the Royal Statistical Society: Series C (Applied Statistics)
, 71
(4)
pp. 834-860.
10.1111/rssc.12557.
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Lehmann, BCL;
Henson, RN;
Geerligs, L;
Cam-Can;
White, SR;
(2021)
Characterising group-level brain connectivity: A framework using Bayesian exponential random graph models.
NeuroImage
, 225
, Article 117480. 10.1016/j.neuroimage.2020.117480.
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Lehmann, BCL;
White, SR;
Henson, RN;
Geerligs, L;
(2017)
Assessing dynamic functional connectivity in heterogeneous samples.
NeuroImage
, 157
pp. 635-647.
10.1016/j.neuroimage.2017.05.065.
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Lehmann, Brieuc;
Bräuninger, Leandra;
Cho, Yoonsu;
Falck, Fabian;
Jayadeva, Smera;
Katell, Michael;
Nguyen, Thuy;
... Holmes, Chris; + view all
(2025)
Methodological opportunities in genomic data analysis to advance health equity.
Nature Reviews Genetics
, 26
pp. 635-649.
10.1038/s41576-025-00839-w.
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Lehmann, Brieuc;
Lee, Hanbin;
Anderson-Trocmé, Luke;
Kelleher, Jerome;
Gorjanc, Gregor;
Ralph, Peter L;
(2025)
On ARGs, pedigrees, and genetic relatedness matrices.
Genetics
, Article iyaf219. 10.1093/genetics/iyaf219.
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Lehmann, Brieuc;
Mackintosh, Maxine;
McVean, Gil;
Holmes, Chris;
(2023)
Optimal strategies for learning multi-ancestry polygenic scores vary across traits.
Nature Communications
, 14
, Article 4023. 10.1038/s41467-023-38930-7.
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Mitra, R;
McGough, SF;
Chakraborti, T;
Holmes, C;
Copping, R;
Hagenbuch, N;
Biedermann, S;
... MacArthur, BD; + view all
(2023)
Learning from data with structured missingness.
Nature Machine Intelligence
, 5
pp. 13-23.
10.1038/s42256-022-00596-z.
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Nicholson, George;
Blangiardo, Marta;
Briers, Mark;
Diggle, Peter J;
Fjelde, Tor Erlend;
Ge, Hong;
Goudie, Robert JB;
... Richardson, Sylvia; + view all
(2022)
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality.
Statistical Science
, 37
(2)
pp. 183-206.
10.1214/22-STS854.
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Nicholson, George;
Lehmann, Brieuc;
Padellini, Tullia;
Pouwels, Koen B;
Jersakova, Radka;
Lomax, James;
King, Ruairidh E;
... Holmes, Chris; + view all
(2022)
Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework.
Nature Microbiology
, 7
(1)
pp. 97-107.
10.1038/s41564-021-01029-0.
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Padellini, T;
Jersakova, R;
Diggle, PJ;
Holmes, C;
King, RE;
Lehmann, BCL;
Mallon, AM;
... Blangiardo, M; + view all
(2022)
Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study.
The Lancet Regional Health - Europe
, 15
, Article 100322. 10.1016/j.lanepe.2022.100322.
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Proceedings paper
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Clivio, Oscar;
Falck, Fabian;
Lehmann, Brieuc;
Deligiannidis, George;
Holmes, Chris;
(2022)
Neural Score Matching for High-Dimensional Causal Inference.
In: Camps-Valls, G and Ruiz, FJR and Valera, I, (eds.)
Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022.
(pp. pp. 1-35).
PMLR
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Fong, Edwin;
Lehmann, Brieuc;
(2022)
A Predictive Approach to Bayesian Nonparametric Survival Analysis.
In: Camps-Valls, G and Ruiz, FJR and Valera, I, (eds.)
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics.
(pp. pp. 6990-7013).
PMLR 151
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Ghalebikesabi, S;
Holmes, C;
Fong, E;
Lehmann, B;
(2023)
Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates.
In:
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023).
(pp. pp. 658-668).
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