Risk, Benjamin B, Perry De Valpine, and Steven R Beissinger (2011). “A robust-design formulation of the incidence function model of metapopulation dynamics applied to two species of rails”. Ecology 92.2, pp. 462–474. Roberts, G. O., A. Gelman, and W. R. Gilks (Feb. 1997). “Weak convergence and optimal scaling of random walk Metropolis algorithms”. The Annals of Applied Probability 7.1, pp. 110–120. Roberts, G. O. and S. K. Sahu (Jan. 1, 1997). “Updating Schemes, Correlation Structure, Blocking and Parameterization for the Gibbs Sampler”. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 59.2, pp. 291–317. Roberts, G. O. and R. L. Tweedie (Jan. 3, 1996). “Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithms”. Biometrika 83.1, pp. 95–110. Royle, J. Andrew (2008). “Modeling Individual Effects in the CormackJollySeber Model: A StateSpace Formulation”. Biometrics 64.2, pp. 364–370. Royle, J Andrew and Robert M Dorazio (2008). Hierarchical modeling and inference in ecol- ogy: the analysis of data from populations, metapopulations and communities . Academic Press. Seber, George AF (1965). “A note on the multiple-recapture census”. Biometrika , pp. 249– 259. Turek, Daniel et al. (2015). “Automated Parameter Blocking for Efficient Markov-Chain Monte Carlo Sampling”. arXiv: 1503.05621 . White, Gary C and Kenneth P Burnham (1999). “Program MARK: survival estimation from populations of marked animals”. Bird study 46 (S1), S120–S139. 25