Dynamics of measles epidemics: estimating scaling of transmission rates using a time series SIR model ON Bjørnstad, BF Finkenstädt, BT Grenfell Ecological monographs 72 (2), 169-184, 2002 | 650 | 2002 |
Noise and determinism in synchronized sheep dynamics BT Grenfell, K Wilson, BF Finkenstädt, TN Coulson, S Murray, SD Albon, ... Nature 394 (6694), 674-677, 1998 | 596 | 1998 |
Statistical inference in a stochastic epidemic SEIR model with control intervention: Ebola as a case study PE Lekone, BF Finkenstädt Biometrics 62 (4), 1170-1177, 2006 | 532 | 2006 |
Time series modelling of childhood diseases: a dynamical systems approach BF Finkenstädt, BT Grenfell Journal of the Royal Statistical Society Series C: Applied Statistics 49 (2 …, 2000 | 470 | 2000 |
Arabidopsis Defense against Botrytis cinerea: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis O Windram, P Madhou, S McHattie, C Hill, R Hickman, E Cooke, ... The Plant Cell 24 (9), 3530-3557, 2012 | 370 | 2012 |
Dynamics of measles epidemics: scaling noise, determinism, and predictability with the TSIR model BT Grenfell, ON Bjørnstad, BF Finkenstädt Ecological monographs 72 (2), 185-202, 2002 | 298 | 2002 |
Statistics of extremes, with applications in environment, insurance, and finance RL Smith Extreme values in finance, telecommunications, and the environment, 20-97, 2003 | 284 | 2003 |
Extreme values in finance, telecommunications, and the environment B Finkenstadt, H Rootzén CRC Press, 2003 | 280 | 2003 |
Dynamic analysis of stochastic transcription cycles CV Harper, B Finkenstädt, DJ Woodcock, S Friedrichsen, S Semprini, ... PLoS biology 9 (4), e1000607, 2011 | 255 | 2011 |
Bayesian inference of biochemical kinetic parameters using the linear noise approximation M Komorowski, B Finkenstädt, CV Harper, DA Rand BMC bioinformatics 10, 1-10, 2009 | 158 | 2009 |
Statistical methods for spatio-temporal systems B Finkenstadt, L Held, V Isham Chapman and Hall/CRC, 2006 | 134 | 2006 |
Time-Series Transcriptomics Reveals That AGAMOUS-LIKE22 Affects Primary Metabolism and Developmental Processes in Drought-Stressed Arabidopsis U Bechtold, CA Penfold, DJ Jenkins, R Legaie, JD Moore, T Lawson, ... The Plant Cell 28 (2), 345-366, 2016 | 121 | 2016 |
A stochastic model for extinction and recurrence of epidemics: estimation and inference for measles outbreaks BF Finkenstädt, ON Bjørnstad, BT Grenfell Biostatistics 3 (4), 493-510, 2002 | 115 | 2002 |
Population dynamic interference among childhood diseases P Rohani, DJ Earn, B Finkenstädt, BT Grenfell Proceedings of the Royal Society of London. Series B: Biological Sciences …, 1998 | 114 | 1998 |
Network balance via CRY signalling controls the Arabidopsis circadian clock over ambient temperatures PD Gould, N Ugarte, M Domijan, M Costa, J Foreman, D MacGregor, ... Molecular systems biology 9 (1), 650, 2013 | 92 | 2013 |
Empirical determinants of measles metapopulation dynamics in England and Wales B Finkenstädt, B Grenfell Proceedings of the Royal Society of London. Series B: Biological Sciences …, 1998 | 89 | 1998 |
Direct measurement of transcription rates reveals multiple mechanisms for configuration of the Arabidopsisambient temperature response K Sidaway-Lee, MJ Costa, DA Rand, B Finkenstadt, S Penfield Genome biology 15, 1-10, 2014 | 87 | 2014 |
Reconstruction of transcriptional dynamics from gene reporter data using differential equations B Finkenstädt, EA Heron, M Komorowski, K Edwards, S Tang, CV Harper, ... Bioinformatics 24 (24), 2901-2907, 2008 | 85 | 2008 |
Discrete time modelling of disease incidence time series by using Markov chain Monte Carlo methods A Morton, BF Finkenstädt Journal of the Royal Statistical Society Series C: Applied Statistics 54 (3 …, 2005 | 80 | 2005 |
Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data Q Huang, D Cohen, S Komarzynski, XM Li, P Innominato, F Lévi, ... Journal of The Royal Society Interface 15 (139), 20170885, 2018 | 69 | 2018 |