Now showing items 1-6 of 6
(University of St Andrews, 2017-12-07) - Thesis
WinBUGS for population ecologists: Bayesian modeling using Markov Chain Monte Carlo methods.
(Springer Series: Environmental and Ecological Statistics, 2008) - Book item
The computer package WinBUGS is introduced. We first give a brief introduction to Bayesian theory and its implementation using Markov chain Monte Carlo (MCMC) algorithms. We then present three case studies showing how ...
Bayesian point process modelling of ecological communities
(University of St Andrews, 2013-06-28) - Thesis
The modelling of biological communities is important to further the understanding of species coexistence and the mechanisms involved in maintaining biodiversity. This involves considering not only interactions between ...
Estimation of population size when capture probability depends on individual states
(2019-03) - Journal article
We develop a multi-state model to estimate the size of a closed population from capture–recapture studies. We consider the case where capture–recapture data are not of a simple binary form, but where the state of an ...
Statistical models for the long-term monitoring of songbird populations: a Bayesian analysis of constant effort sites and ring-recovery data
(University of St Andrews, 2010-06-25) - Thesis
To underpin and improve advice given to government and other interested parties on the state of Britain’s common songbird populations, new models for analysing ecological data are developed in this thesis. These models ...
Bayesian modelling of integrated data and its application to seabird populations
(University of St Andrews, 2010-11-30) - Thesis
Integrated data analyses are becoming increasingly popular in studies of wild animal populations where two or more separate sources of data contain information about common parameters. Here we develop an integrated population ...