Fitting Population Dynamics Models to Count and Cull Data Using Sequential Importance Sampling

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A UNIFIED FRAMEWORK FOR MODELLING WILDLIFE POPULATION DYNAMICS † (2005, methodology): “First, we used kernel smoothing of the parameter vectors at each time step, as proposed by West (1993) and Trenkel et al. (2000).”
Chapter 3 Modeling Individual Animal Histories with Multistate Capture–Recapture Models (2009, methodology): “, 1996; Quinn and Deriso, 1999; Schnute, 1994) and is beginning to see use in investigations of terrestrial animal ecology (Besbeas et al., 2002; Gauthier et al., 2007; Gove et al., 2002; Trenkel et al., 2000; Véran and Lebreton, 2008; White and Lubow, 2002).”
State-space models for the dynamics of wild animal populations (2004, methodology): “For many managed populations, we have sufficient data to allow us to model demographic variation, while smoothing out stochastic fluctuation in the survey data (e.g. Raftery et al., 1995; Newman, 1998, 2000; Meyer and Millar, 1999; Millar and Meyer, 2000; Trenkel et al., 2000; Besbeas et al., 2002).”