Prof. Gesine Reinert
Prof. Gesine Reinert is a University Lecturer at the Department of Statistics, Oxford, and Fellow at Keble College, Oxford (2000 – present).
Her current and main research interests are in network statistics and to investigate such networks in a statistically rigorous fashion. Often this will require some approximation, and approximations in statistics are another of her research interests. Stein’s method is an excellent method to derive distances between the distributions of random quantities, and is one that Prof Reinert has required some expertise in over the years.
The general area of Prof Reinert’s research falls under the category of Applied Probability while many of the problems and examples she studies are from the area of Computational Biology (or bioinformatics).
Selected Publications
Goldstein, L. and Reinert, G. (2013) ‘Stein’s method for the beta distribution and the Pólya-Eggenberger urn’, Journal of Applied Probability, 50(4), pp. 1187–1205. doi: 10.1239/jap/1389370107.
Barbour, A.D. and Reinert, G. (2013) ‘Asymptotic behaviour of gossip processes and small-world networks’, Advances in Applied Probability, 45(4), pp. 895–1201. doi: 10.1239/aap/1386857854.
Song, K., Ren, J., Reinert, G., Deng, M., Waterman, M.S. and Sun, F. (2013) ‘New developments of alignment-free sequence comparison: Measures, statistics and next-generation sequencing’,Briefings in Bioinformatics, 15(3), pp. 343–353. doi: 10.1093/bib/bbt067.
Ren, J., Song, K., Sun, F., Deng, M. and Reinert, G. (2013) ‘Multiple alignment-free sequence comparison’, Bioinformatics, 29(21), pp. 2690–2698. doi: 10.1093/bioinformatics/btt462.
Barbour, A. and Reinert, G. (2013) ‘Approximating the epidemic curve’,Electronic Journal of Probability, 18(0). doi: 10.1214/ejp.v18-2557.
Luo, Q., Hamer, R., Reinert, G. and Deane, C.M. (2013) ‘Local network patterns in protein-protein interfaces’, PLoS ONE, 8(3), p. e57031. doi: 10.1371/journal.pone.0057031.
