School of Mathematics, Statistics & Actuarial Science

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Publications

Also view these in the Kent Academic Repository

Article
Besbeas, P., McCrea, R. and Morgan, B. (2017). Integrated population model selection in ecology. In prep.
Besbeas, P. and Morgan, B. (2017). Variance estimation for integrated population models. Advances in Statistical Analysis [Online]. Available at: http://dx.doi.org/10.1007/s10182-017-0304-5.
Cowen, L. et al. (2017). Hidden Markov Models for Extended Batch Data. Biometrics [Online]. Available at: http://dx.doi.org/10.1111/biom.12701.
Cowen, L. et al. (2014). A comparison of abundance estimates from extended batch-marking and Jolly-Seber type experiments. Ecology and Evolution [Online] 4:210-218. Available at: http://dx.doi.org/10.1002/ece3.899.
Besbeas, P. and Morgan, B. (2014). Goodness-of-fit of integrated population models using calibrated simulation. Methods in Ecology and Evolution [Online] 5:1373-1382. Available at: http://dx.doi.org/10.1111/2041-210X.12279.
Besbeas, P. and Morgan, B. (2012). A threshold model for heron productivity. Journal of Agricultural, Biological, and Environmental Statistics [Online] 17:128-141. Available at: http://dx.doi.org/10.1007/s13253-011-0080-8.
Besbeas, P. and Morgan, B. (2012). Kalman filter initialization for integrated population modelling. Journal of the Royal Statistical Society: Series C [Online] 61:151-162. Available at: http://dx.doi.org/10.1111/j.1467-9876.2011.01012.x.
Besbeas, P. and Morgan, B. (2012). Kalman filter initialisation for integrated population modelling. Journal of the Royal Statistical Society: Series C (Applied Statistics) [Online] 61:151-162. Available at: http://dx.doi.org/10.1111/j.1467-9876.2011.01012.x.
Viallefont, A. et al. (2012). Estimating survival and transition rates from aggregate sightings of animals. Journal of Ornithology [Online] 152:381-391. Available at: http://dx.doi.org/10.1007/s10336-010-0588-7.
McCrea, R. et al. (2010). Multi-site integrated population modelling. Journal of Agricultural, Biological, and Environmental Statistics [Online] 15:539-561. Available at: http://dx.doi.org/10.1007/s13253-010-0027-5.
Tavecchia, G. et al. (2009). Estimating population size and hidden demographic parameters with state-space modelling. American Naturalist [Online] 173:722-733. Available at: http://dx.doi.org/10.1086/598499.
Besbeas, P. and Morgan, B. (2008). Improved estimation of the stable laws. Statistics and Computing [Online] 18:219-231. Available at: http://dx.doi.org/10.1007/s11222-008-9050-6.
Gauthier, G. et al. (2007). Population growth in snow geese: A modeling approach integrating demographic and survey information. Ecology [Online] 88:1420-1429 . Available at: http://dx.doi.org/10.1890/06-0953.
Besbeas, P. and Freeman, S. (2006). Methods for joint inference from panel survey and demographic data. Ecology 87:1138-1145.
Besbeas, P., Freeman, S. and Morgan, B. (2005). The potential of integrated population modelling. Australian & New Zealand Journal of Statistics [Online] 47:35-48. Available at: http://dx.doi.org/10.1111/j.1467-842X.2005.00370.x.
Besbeas, P., De Feis, I. and Sapatinas, T. (2004). A comparative simulation study of wavelet shrinkage estimators for Poisson counts. International Statistical Review [Online] 72:209-237. Available at: http://dx.doi.org/10.1111/j.1751-5823.2004.tb00234.x.
Besbeas, P. and Morgan, B. (2004). Efficient and robust estimation for the one-sided stable distribution of index (1)-(2). Statistics & Probability Letters [Online] 66:251-257. Available at: http://dx.doi.org/10.1016/j.spl.2003.10.013 .
Ridout, M. and Besbeas, P. (2004). An empirical model for underdispersed count data . Statistical Modelling [Online] 4:77-89. Available at: http://dx.doi.org/10.1191/1471082X04st064oa.
Besbeas, P. and Morgan, B. (2004). Integrated squared error estimation of normal mixtures. Computational Statistics and Data Analysis [Online] 44:517-526. Available at: http://dx.doi.org/10.1016/S0167-9473(02)00251-7 .
Besbeas, P., Lebreton, J. and Morgan, B. (2003). The efficient integration of abundance and demographic data. Journal of the Royal Statistical Society: Series C (Applied Statistics) [Online] 52:95-102. Available at: http://dx.doi.org/10.1111/1467-9876.00391.
Besbeas, P. et al. (2002). Integrating mark-recapture-recovery and census data to estimate animal abundance and demographic parameters . Biometrics [Online] 58:540-547. Available at: http://dx.doi.org/10.1111/j.0006-341X.2002.00540.x.
Fearn, T., Brown, P. and Besbeas, P. (2002). A Bayesian decision theory approach to variable selection for discrimination. Statistics and Computing [Online] 12:253-260. Available at: http://dx.doi.org/10.1023/A:1020702927247.
Abramovich, F., Besbeas, P. and Sapatinas, T. (2002). Empirical Bayes approach to block wavelet function estimation. Computational Statistics and Data Analysis 39:435-451.
Besbeas, P. and Morgan, B. (2001). Integrated Squared Error Estimation of Cauchy Parameters. Statistics & Probability Letters [Online] 55:397-401. Available at: http://dx.doi.org/10.1016/S0167-7152(01)00153-5.
Book section
Besbeas, P., Borysiewicz, R. and Morgan, B. (2008). Completing the ecological jigsaw. in: Thomson, D. L., Cooch, E. G. and Conroy, M. J. eds. Modeling Demographic Processes in Marked Populations. New York: Springer, pp. 513-539. Available at: http://dx.doi.org/10.1007/978-0-387-78151-8.
Monograph
Besbeas, P. and Morgan, B. (2015). Pseudo replication for integrated population models. University of Kent Technical Report.
Conference or workshop item
Morgan, B., Besbeas, P. and Lebreton, J. (2001). New Methodology for Integrated Monitoring of Wild Animal Populations. in: 53rd Session of the International Statistical Institute. International Statistical Institute, pp. 361-364.
Book
Newman, K. et al. (2014). Modelling Population Dynamics: model formulation, fitting and assessment using state-space methods. Springer.
Total publications in KAR: 28 [See all in KAR]
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Research Interests

Statistical ecology back to top

Teaching

MA888: Stochastic Models in Ecology and Medicine
MA529: Probability and Statistics for Actuarial Science 2 back to top

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

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Last Updated: 29/09/2017