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Professor Mark Beaumont
Professor Mark Beaumont
BSc(Manc.), PhD(Nott.)
Professor of Statistics
Recent publications
- Beaumont, MA, 2019, Approximate Bayesian computation. Annual Review of Statistics and Its Application, vol 6., pp. 379-403
- Macgregor, CJ, Thomas, CD, Roy, DB, Beaumont, MA, Bell, JR, Brereton, T, Bridle, JR, Dytham, C, Fox, R, Gotthard, K, Hoffmann, AA, Martin, G, Middlebrook, I, Nylin, S, Platts, PJ, Rasteiro, R, Saccheri, IJ, Villoutreix, R, Wheat, CW & Hill, JK, 2019, Climate-induced phenology shifts linked to range expansions in species with multiple reproductive cycles per year. Nature Communications, vol 10.
- Daniels, RR, Taylor, RS, Martínez, SC, Vendramin, GG, Fady, B, Muratorio, SO, Piotti, A, Simioni, G, Grivet, D & Beaumont, MA, 2019, Looking for local adaptation: Convergent microevolution in aleppo pine (pinus halepensis). Genes, vol 10.
- 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
- 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
- North, TL & Beaumont, MA, 2015, Complex trait architecture: The pleiotropic model revisited. Scientific Reports, vol 5.
- 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
- 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
- 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
- Vitalis, R, Gautier, M, Dawson, KJ & Beaumont, MA, 2014, Detecting and measuring selection from gene frequency data. Genetics, vol 196., pp. 799-817
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