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Professor Mark Beaumont
Professor Mark Beaumont
BSc(Manc.), PhD(Nott.)
Professor of Statistics
Recent publications
- Pagel, M, Beaumont, M, Meade, A, Verkerk, A & Calude, A, 2019, ‘Dominant words rise to the top by positive frequency-dependent selection’. Proceedings of the National Academy of Sciences of the United States of America, vol 116., pp. 7397-7402
- Beaumont, MA, 2019, ‘Approximate Bayesian computation’. Annual Review of Statistics and Its Application, vol 6., pp. 379-403
- He, Z, Beaumont, M & Yu, F, 2017, ‘Effects of the ordering of natural selection and population regulation mechanisms on Wright-Fisher models’. G3, vol 7., pp. 2095-2106
- Arenas, M, Lopes, JS, Beaumont, MA & Posada, D, 2015, ‘CodABC: A computational framework to coestimate recombination, substitution, and molecular adaptation rates by approximate bayesian computation’. Molecular Biology and Evolution, vol 32., pp. 1109-1112
- Vaart, Evd, Beaumont, MA, Johnston, ASA & Sibly, RM, 2015, ‘Calibration and evaluation of individual-based models using Approximate Bayesian Computation’. Ecological Modelling, vol 312., pp. 182-190
- North, TL & Beaumont, MA, 2015, ‘Complex trait architecture: The pleiotropic model revisited’. Scientific Reports, vol 5.
- Vitalis, R, Gautier, M, Dawson, KJ & Beaumont, MA, 2014, ‘Detecting and measuring selection from gene frequency data’. Genetics, vol 196., pp. 799-817
- Lopes, JS, Arenas, M, Posada, D & Beaumont, MA, 2014, ‘Coestimation of recombination, substitution and molecular adaptation rates by approximate Bayesian computation’. Heredity, vol 112., pp. 255-264
- Razgour, ON, Juste, J, Ibanez, C, Kiefer, A, Rebelo, HEV, Puechmaille, S, Arlettaz, R, Burke, T, Dawson, D, Beaumont, MA & Jones, G, 2013, ‘The shaping of genetic variation in edge-of-range populations under past and future climate change.’. Ecology Letters, vol 16., pp. 1258?1266
- Aeschbacher, S, Futschik, A & Beaumont, MA, 2013, ‘Approximate Bayesian computation for modular inference problems with many parameters: the example of migration rates’. Molecular Ecology, vol 22., pp. 987-1002
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