Publications (Statistical Theory and Methodology) Publications Wu, F. and Rebeschini, P. (2020) “A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval”, arXiv. O’Driscoll, M. et al. (2020) “A comparative analysis of statistical methods to estimate the reproduction number in emerging epidemics with implications for the current COVID-19 pandemic”, Clinical Infectious Diseases, 73(1), pp. e215 - e223. Riley, S. et al. (2020) “High and increasing prevalence of SARS-CoV-2 swab positivity in England during end September beginning October 2020: REACT-1 round 5 updated report”, p. 2020.10.12.20211227. Schwessinger, R. et al. (2020) “DeepC: Predicting 3D genome folding using megabase-scale transfer learning”, Nature Methods, 17(11), pp. 1118–1124. Wang, Q., Rao, V. and Teh, Y. (2020) “An exact auxiliary variable Gibbs sampler for a class of diffusions”, Journal of Computational and Graphical Statistics, 30(2), pp. 297–311. Watson, J. et al. (2020) “A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices”, PLoS Genetics, 16(10). Riley, S. et al. (2020) “High prevalence of SARS-CoV-2 swab positivity in England during September 2020: interim report of round 5 of REACT-1 study”, p. 2020.09.30.20204727. Okell, L. et al. (2020) “Host or pathogen-related factors in COVID-19 severity? – Authors’ reply”, The Lancet, 396(10260), p. 1397. Pompe, E., Holmes, C. and Łatuszyński, K. (2020) “A framework for adaptive MCMC targeting multimodal distributions”, The Annals of Statistics, 48(5), pp. 2930–2952. O’Cathail, S. et al. (2020) “NRF2 metagene signature is a novel prognostic biomarker in colorectal cancer”, Cancer Genetics, 248, pp. 1–10. Pagination First page First Previous page ‹ … Page 36 Page 37 Page 38 Page 39 Page 40 Page 41 Page 42 Page 43 Page 44 … Next page › Last page Last