Brieuc Lehmann
机构: Statistical Science, University College London
每年引用次数
引用次数
引用: 194
H-指数: 8
I10-指数 : 7
出版物: 15
Learning from data with structured missingness
Robin Mitra , Sarah F McGough , Tapabrata Chakraborti , Chris Holmes
Nature Machine Intelligence 5 ( 1) 13 -23
2023
Neural score matching for high-dimensional causal inference
Oscar Clivio , Fabian Falck , Brieuc Lehmann , George Deligiannidis
Smpte Journal 7076 -7110
2
2022
Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework
George Nicholson , Brieuc Lehmann , Tullia Padellini , Koen B Pouwels
Nature Microbiology 7 ( 1) 97 -107
29
2022
Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag
Radka Jersakova , James Lomax , James Hetherington , Brieuc Lehmann
Journal of the Royal Statistical Society Series C: Applied Statistics 71 ( 4) 834 -860
7
2022
Optimal strategies for learning multi-ancestry polygenic scores vary across traits
Brieuc Lehmann , Maxine Mackintosh , Gil McVean , Chris Holmes
Nature Communications 14 ( 1) 4023 -4023
3
2023
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates
Sahra Ghalebikesabi , Chris C Holmes , Edwin Fong , Brieuc Lehmann
Uncertainty in Artificial Intelligence 658 -668
1
2023
Data Fusion for Heterogeneous Treatment Effect Estimation with Multi-Task Gaussian Processes
Evangelos Dimitriou , Edwin Fong , Karla Diaz-Ordaz , Brieuc Lehmann
arXiv preprint arXiv:2405.20957
2024
Understanding COVID-19 testing behaviour in England through a sociodemographic lens
Sumali Bajaj , Siyu Chen , Richard Creswell , Reshania Naidoo
medRxiv 2023.10. 26.23297608 -2023.10. 26.23297608
2023
A Predictive Approach to Bayesian Nonparametric Survival Analysis
Edwin Fong , Brieuc Lehmann
International Conference on Artificial Intelligence and Statistics 6990 -7013
7
2022
Bayesian exponential random graph models for populations of networks
Brieuc Lehmann , Simon White
arXiv preprint arXiv:2104.05110
3
2021
Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study
Tullia Padellini , Radka Jersakova , Peter J Diggle , Chris Holmes
The Lancet Regional Health--Europe 15
11
2022
Interoperability of statistical models in pandemic preparedness: principles and reality
George Nicholson , Marta Blangiardo , Mark Briers , Peter J Diggle
Statistical science: a review journal of the Institute of Mathematical Statistics 37 ( 2) 183 -183
18
2022
Assessing dynamic functional connectivity in heterogeneous samples.
Brieuc CL Lehmann , Simon R White , Richard N Henson , Linda Geerligs
NeuroImage 157 635 -647
29
2017
Characterising group-level brain connectivity: A framework using Bayesian exponential random graph models.
BCL Lehmann , RN Henson , Linda Geerligs , SR White
NeuroImage 225 117480
12
2021
Inferring differences between networks using Bayesian exponential random graph models
Brieuc Charles Louis Lehmann ,
University of Cambridge
2
2019