References Amstrup, Steven C., Trent L. McDonald, and Bryan F. J. Manly (Dec. 16, 2010). Handbook of Capture-Recapture Analysis . Princeton University Press. 335 pp. Brooks, Steve et al. (May 10, 2011). Handbook of Markov Chain Monte Carlo . CRC Press. 620 pp. Capp, Olivier, Eric Moulines, and Tobias Rydn (2006). Inference in hidden Markov models . Springer Science & Business Media. Brownie, Cavell et al. (1985). “Statistical inference from band recovery data: a handbook”. Choquet, Remi et al. (2004). “M-SURGE: new software specifically designed for multistate capture-recapture models”. Animal biodiversity and conservation 27.1, pp. 207–215. Elliott, Robert J, Lakhdar Aggoun, and John B Moore (2008). Hidden Markov models: estimation and control . Vol. 29. Springer Science & Business Media. Gales, Mark and Steve Young (2008). “The application of hidden Markov models in speech recognition”. Foundations and trends in signal processing 1.3, pp. 195–304. Gilks, W. R. (2005). “Markov Chain Monte Carlo”. Encyclopedia of Biostatistics . John Wiley & Sons, Ltd. Gimenez, Olivier et al. (Aug. 24, 2007). “State-space modelling of data on marked individ- uals”. Ecological Modelling 206.34, pp. 431–438. Jolly, George M (1965). “Explicit estimates from capture-recapture data with both death and immigration-stochastic model”. Biometrika , pp. 225–247. K´ ery, Marc and Katharine B Gregg (2004). “Demographic analysis of dormancy and survival in the terrestrial orchid Cypripedium reginae”. Journal of Ecology 92.4, pp. 686–695. K´ ery, Marc and Michael Schaub (2012). Bayesian Population Analysis Using WinBUGS: A Hierarchical Perspective . Academic Press. 556 pp. King, Ruth (2012). “A review of Bayesian state-space modelling of capture–recapture– recovery data”. Interface Focus , rsfs20110078. 23