School of Mathematics, Statistics & Actuarial Science

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Also view these in the Kent Academic Repository

Zhou, M. et al. (2018). Removal models accounting for temporary emigration. Biometrics [Online]. Available at:
Allen, S. et al. (2017). Temporally varying natural mortality: Sensitivity of a virtual population analysis and an exploration of alternatives. Fisheries Research [Online] 185:185-197. Available at:
Cole, D. and McCrea, R. (2016). Parameter Redundancy in Discrete State-Space and Integrated Models. Biometrical Journal [Online] 58:1071-1090. Available at:
Cole, D. (2016). Reply to determining structural identifiability of parameter learning machines. Neurocomputing 173:2039-2040.
Cole, D. et al. (2014). Does Your Species Have Memory? Analysing Capture-Recapture Data with Memory Models. Ecology and Evolution [Online] 4:2124-2133. Available at:
Hubbard, B., Cole, D. and Morgan, B. (2014). Parameter Redundancy in Capture-Recapture-Recovery Models. Statistical Methodology 17:17-29.
McCrea, R., Morgan, B. and Cole, D. (2013). Age-dependent mixture models for recovery data on animals marked at unknown age. Journal of the Royal Statistical Society: Series C (Applied Statistics) [Online] 62:101-113. Available at:
Choquet, R. and Cole, D. (2012). A Hybrid Symbolic-Numerical Method for Determining Model Structure. Mathematical Biosciences [Online] 236:117-125. Available at:
Cole, D. et al. (2012). Parameter redundancy in mark-recovery models. Biometrical Journal [Online] 54:507-523. Available at:
Cole, D. (2012). Determining Parameter Redundancy of Multi-state Mark-recapture Models for Sea Birds. Journal of Ornithology [Online] 152:S305-S315. Available at:
Cole, D., Morgan, B. and Titterington, D. (2010). Determining the parametric structure of models. Mathematical Biosciences [Online] 228:16-30. Available at:
Cole, D. and Morgan, B. (2010). A note on determining parameter redundancy in age-dependent tag return models for estimating fishing mortality, natural mortality and selectivity. Journal of Agricultural, Biological, and Environmental Statistics [Online] 15:431-434. Available at:
Cole, D. and Morgan, B. (2010). Parameter Redundancy with Covariates. Biometrika [Online] 97:1002-1005. Available at:
Byrne, L. et al. (2009). The Number and Transmission of [PSI+] Prion Seeds (Propagons) in the Yeast Saccharomyces Cerevisiae. PLoS ONE [Online] Online. Available at:
Byrne, L. et al. (2007). Cell division is essential for elimination of the yeast [PSI+] prion by guanidine hydrochloride. Proceedings of the National Academy of Sciences of the United States of America [Online] 104:11688-11693. Available at:
Cole, D. et al. (2007). Approximations for expected generation number. Biometrics [Online] 63:1023-1030. Available at:
Ridout, M. et al. (2006). New approximations to the Malthusian parameter. Biometrics [Online] 62:1216-1223. Available at:
Cole, D., Morgan, B. and Ridout, M. (2005). Models for strawberry inflorescence data. Journal of Agricultural, Biological, and Environmental Statistics [Online] 10:411-423. Available at:
Cole, D. et al. (2004). Estimating the number of prions in yeast cells. Mathematical Medicine and Biology [Online] 21:369-395. Available at:
Cole, D., Morgan, B. and Ridout, M. (2003). Generalized linear mixed models for strawberry inflorescence data. Statistical Modelling [Online] 3:273-290. Available at:
Cole, D. and Freeman, S. (2012). Estimating age-specific survival rates from historical ringing data: Comment. University of Kent Technical Report.
Cole, D. and Choquet, R. (2012). Parameter Redundancy in Models with Individual Random Effects. University of Kent.
Cole, D. (2009). A note on the identifiability of certain latent class models. University of Kent.
Ridout, M., Woodcock, C. and Cole, D. (2006). Generation number in a pure birth process. University of Kent.
Newman, K. et al. (2014). Modelling Population Dynamics: model formulation, fitting and assessment using state-space methods. Springer.
Jimenez-Munoz, M. et al. (2018). Estimating age-dependent survival from age-aggregated ringing data - extending the use of historical records. Ecology and Evolution.
Total publications in KAR: 26 [See all in KAR]
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Research Interests

Branching processes in biology. Cell division models. Ecological statistics. Generalised linear mixed models. Identifiability. Parameter redundancy. back to top


MA771: Applied Stochastic Modelling and Data Analysis
MA858: Computational Statistics back to top

School of Mathematics, Statistics and Actuarial Science (SMSAS), Sibson Building, Parkwood Road, Canterbury, CT2 7FS

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Last Updated: 07/09/2018