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Brieuc Lehmann
Brieuc Lehmann
Statistical Science, University College London
Bestätigte E-Mail-Adresse bei ucl.ac.uk - Startseite
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Zitiert von
Zitiert von
Jahr
Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework
G Nicholson, B Lehmann, T Padellini, KB Pouwels, R Jersakova, J Lomax, ...
Nature Microbiology 7 (1), 97-107, 2022
41*2022
Assessing dynamic functional connectivity in heterogeneous samples
BCL Lehmann, SR White, RN Henson, L Geerligs
NeuroImage 157, 635-647, 2017
302017
Learning from data with structured missingness
R Mitra, SF McGough, T Chakraborti, C Holmes, R Copping, ...
Nature Machine Intelligence 5 (1), 13-23, 2023
282023
Characterising group-level brain connectivity: a framework using Bayesian exponential random graph models
BCL Lehmann, RN Henson, L Geerligs, SR White
NeuroImage 225, 2021
242021
Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a population-based ecological study
T Padellini, R Jersakova, PJ Diggle, C Holmes, RE King, BCL Lehmann, ...
The Lancet Regional Health–Europe 15, 2022
232022
Interoperability of statistical models in pandemic preparedness: principles and reality
G Nicholson, M Blangiardo, M Briers, PJ Diggle, TE Fjelde, H Ge, ...
Statistical science: a review journal of the Institute of Mathematical …, 2022
182022
Neural score matching for high-dimensional causal inference
O Clivio, F Falck, B Lehmann, G Deligiannidis, C Holmes
International Conference on Artificial Intelligence and Statistics, 7076-7110, 2022
102022
Optimal strategies for learning multi-ancestry polygenic scores vary across traits
B Lehmann, M Mackintosh, G McVean, C Holmes
Nature Communications 14 (1), 4023, 2023
9*2023
Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag
R Jersakova, J Lomax, J Hetherington, B Lehmann, G Nicholson, M Briers, ...
Journal of the Royal Statistical Society Series C: Applied Statistics 71 (4 …, 2022
72022
A Predictive Approach to Bayesian Nonparametric Survival Analysis
E Fong, B Lehmann
International Conference on Artificial Intelligence and Statistics, 6990-7013, 2022
72022
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates
S Ghalebikesabi, CC Holmes, E Fong, B Lehmann
Uncertainty in Artificial Intelligence, 658-668, 2023
4*2023
Inferring differences between networks using Bayesian exponential random graph models
BCL Lehmann
42019
A Bayesian multilevel model for populations of networks using exponential-family random graphs
B Lehmann, S White
Statistics and Computing 34 (4), 136, 2024
3*2024
Data Fusion for Heterogeneous Treatment Effect Estimation with Multi-Task Gaussian Processes
E Dimitriou, E Fong, K Diaz-Ordaz, B Lehmann
arXiv preprint arXiv:2405.20957, 2024
2024
Understanding COVID-19 testing behaviour in England through a sociodemographic lens
S Bajaj, S Chen, R Creswell, R Naidoo, J L.-H. Tsui, O Kolade, ...
medRxiv, 2023.10. 26.23297608, 2023
2023
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