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Assoc. Professor Jonathan Keith
Monash University
Jonathan works in the School of Mathematical Sciences at Monash University.
Jonathan is a researcher in Bayesian methods, invasive species modelling, bioinformatics, genetic epidemiology and Monte Carlo methods. His current main research interests are statistical methods for the detection of novel non-protein-coding functional elements in genomes, and modelling of the Brisbane fire ant invasion.
Research Interests:
Bayesian methods
Bioinformatics
Genetic epidemiology
Markov Chain Monte Carlo
Monte Carlo Methods
Species Distribution Modelling
Qualifications:
PhD
Projects
Publications
Book Chapters
Uchiumi, F., Azad A.K.M.., Lawen A., & Keith J.M..
(2018). Cross-Talk Categorisations in Data-Driven Models of Signalling Networks: A System-Level View.
Gene Expression and Regulation in Mammalian Cells. doi: 10.5772/intechopen.70352,10.5772/intechopen.72408
Journal Articles
Yen, J. D. L., Thomson J. R., Keith J.M.., Paganin D. M., Fleishman E., Bennett A. F., et al.
(2018). Linking species richness and size diversity in birds and fishes.
Ecography. 41(12), 1979 - 1991. doi: 10.1111/ecog.03582
Smith, N. R., Trauer J. M., Gambhir M., Richards J. S., Maude R. J., Keith J.M.., et al.
(2018). Agent-based models of malaria transmission: a systematic review.
Malaria Journal. 17(1), doi: 10.1186/s12936-018-2442-y
Chen, C. Chia- Ming, Keith J.M.., & Mengersen KL.
(2017). Accurate phenotyping: Reconciling approaches through Bayesian model averaging.
PLoS ONE. 12(4), e0176136. doi: 10.1371/journal.pone.0176136
Chen, C.C.-M.., Drovandi C. C., Keith J.M.., Anthony K., M. Caley J., & Mengersen KL.
(2017). Bayesian semi-individual based model with approximate Bayesian computation for parameters calibration: Modelling Crown-of-Thorns populations on the Great Barrier Reef.
Ecological Modelling. 364, 113 - 123. doi: 10.1016/j.ecolmodel.2017.09.006