Till Hoffmann

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Renaud LambiotteProfessor of Networks and Nonlinear Systems, University of OxfordVerified email at maths.ox.ac.uk
Matthew WadeSenior Environmental Science Advisor, UK Health Security AgencyVerified email at ukhsa.gov.uk
Jasmine GrimsleyUKHSAVerified email at dhsc.gov.uk
Nick S JonesMathematics, Imperial College LondonVerified email at imperial.ac.uk
Mason PorterUCLAVerified email at math.ucla.edu
Justin AlsingOskar Klein Centre for Cosmoparticle Physics, Stockholm UniversityVerified email at fysik.su.se
Andrew C. SingerUK Centre for Ecology & HydrologyVerified email at ceh.ac.uk
Andrew JaffeProfessor of Astrophysics and Cosmology, Imperial College LondonVerified email at imperial.ac.uk
Benjamin WandeltInstitut d'Astrophysique de Paris, Sorbonne UniversitéVerified email at iap.fr
Alan HeavensImperial College LondonVerified email at imperial.ac.uk
Koen B PouwelsHealth Economics Research Centre, University of OxfordVerified email at ndph.ox.ac.uk
Leon DanonAssociate Professor, University of BrisolVerified email at bristol.ac.uk
Leto PeelMaastricht UniversityVerified email at maastrichtuniversity.nl
Jukka-Pekka "JP" OnnelaProfessor of Biostatistics, Harvard UniversityVerified email at hsph.harvard.edu
Célia SouqueHarvard Medical SchoolVerified email at hms.harvard.edu
David Ian WalkerCefasVerified email at cefas.co.uk
Kath M O'ReillyLondon School of Hygiene and Tropical MedicineVerified email at lshtm.ac.uk
Ornella CominettiNestlé Institute of Health SciencesVerified email at rd.nestle.com
Mauricio BarahonaImperial College London, Mathematics, Professor of Applied Mathematics, Chair in BiomathematicsVerified email at imperial.ac.uk
Dimitrios KorkinofStaff Machine Learning Engineer at SpotifyVerified email at alumni.imperial.ac.uk

Till Hoffmann

Harvard TH Chan School of Public Health

Verified email at hsph.harvard.edu - Homepage

stochastic models bayesian statistics networks


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Understanding and managing uncertainty and variability for wastewater monitoring beyond the pandemic: lessons learned from the United Kingdom national COVID-19 surveillance … MJ Wade, AL Jacomo, E Armenise, MR Brown, JT Bunce, GJ Cameron, ... Journal of hazardous materials 424, 127456, 2022	119	2022
Generalized master equations for non-Poisson dynamics on networks T Hoffmann, MA Porter, R Lambiotte Physical Review E 86 (4), 046102, 2012	107	2012
Hierarchical cosmic shear power spectrum inference J Alsing, A Heavens, AH Jaffe, A Kiessling, B Wandelt, T Hoffmann Monthly Notices of the Royal Astronomical Society 455 (4), 4452-4466, 2016	85	2016
An analysis of 45 large-scale wastewater sites in England to estimate SARS-CoV-2 community prevalence M Morvan, AL Jacomo, C Souque, MJ Wade, T Hoffmann, K Pouwels, ... Nature Communications 13 (1), 4313, 2022	65*	2022
Community detection in networks without observing edges T Hoffmann, L Peel, R Lambiotte, NS Jones Science advances 6 (4), eaav1478, 2020	59*	2020
Faecal shedding models for SARS-CoV-2 RNA among hospitalised patients and implications for wastewater-based epidemiology T Hoffmann, J Alsing Journal of the Royal Statistical Society Series C: Applied Statistics 72 (2 …, 2023	45	2023
Random walks on stochastic temporal networks T Hoffmann, MA Porter, R Lambiotte Temporal Networks, 295-313, 2013	34	2013
Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data IG Johnston, T Hoffmann, SF Greenbury, O Cominetti, M Jallow, ... NPJ digital medicine 2 (1), 63, 2019	13	2019
Systems and methods for performing random walks on knowledge graphs M Beguerisse-Díaz, TA Hoffmann, D Korkinof US Patent App. 17/333,385, 2021	11	2021
Wastewater COVID-19 monitoring in the UK: summary for SAGE M Wade, D Jones, A Singer, A Hart, A Corbishley, C Spence, M Morvan, ... URL: https://www. gov. uk/government/publications/defrajbc-wastewater-covid …, 2020	8*	2020
Minimizing the expected posterior entropy yields optimal summary statistics T Hoffmann, JP Onnela arXiv preprint arXiv:2206.02340, 2022	5	2022
Audio fingerprint extraction and audio recognition using said fingerprints J Donier, T Hoffmann US Patent 10,657,175, 2020	5	2020
Partially-observed networks: inference and dynamics T Hoffmann Imperial College London, 2018	3	2018
Bayesian hierarchical modelling of weak lensing: The golden goal A Heavens, J Alsing, A Jaffe, T Hoffmann, A Kiessling, B Wandelt The Fourteenth Marcel Grossmann Meeting On Recent Developments in …, 2018	3	2018
Unified treatment of the asymptotics of asymmetric kernel density estimators T Hoffmann, NS Jones arXiv preprint arXiv:1512.03188, 2015	3	2015
Decentralized routing on spatial networks with stochastic edge weights T Hoffmann, R Lambiotte, MA Porter Physical Review E 88 (2), 022815, 2013	3	2013
Cost-based feature selection for network model choice L Raynal, T Hoffmann, JP Onnela Journal of Computational and Graphical Statistics 32 (3), 1109-1118, 2023	2	2023
Wastewater catchment areas in Great Britain T Hoffmann, S Bunney, B Kasprzyk-Hordern, A Singer Authorea Preprints, 2022	2	2022
Inference of a universal social scale and segregation measures using social connectivity kernels T Hoffmann, NS Jones Journal of the Royal Society Interface 17 (171), 20200638, 2020	2	2020
Kernel-based approaches to large social networks T Hoffmann, N Jones NetMob, 102-104, 2017	2	2017

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