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- Nicolas Rebuli
Dr Nicolas Rebuli
PhD Student
The University of Adelaide
Nicolas is a recent PhD graduate from the School of Mathematics at The University of Adelaide. He studied under Prof Nigel Bean and Prof Joshua Ross. He is interested in statistical methods relating to the prediction and analysis of infectious diseases.
Research Interests:
Bayesian computational algorithms
Computational biology
epidemiology
Hidden Markov models
Publications
Journal Articles
Yan, A. W. C., Black A. J., McCaw J. M., Rebuli N. P., Ross J.V., Swan A. J., et al.
(2018). The distribution of the time taken for an epidemic to spread between two communities.
Mathematical Biosciences. 303, 139 - 147. doi: 10.1016/j.mbs.2018.07.004
Rebuli, N. P., Bean N. G., & Ross J.V.
(2018). Estimating the basic reproductive number during the early stages of an emerging epidemic.
Theoretical Population Biology. 119, 26-36. doi: 10.1016/j.tpb.2017.10.004
Rebuli, N. P., Bean N. G., & Ross J.V.
(2017). Hybrid Markov chain models of S–I–R disease dynamics.
Journal of Mathematical Biology. 75(3), 521 - 541. doi: 10.1007/s00285-016-1085-2