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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
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
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
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