Incorporating Multiple Sources of Stochasticity into Dynamic Population Models
Calder, C.; Lavine, M.; Muller, P.
Ecology 84(6): 95-402
The application of standard Bayesian techniques to time-series models of population dynamics is discussed. Many standard statistical models used to assess population dynamics ignore significant sources of stochasticity. Standard time-series models for population dynamics can be extended to include both observational and process error. They can also be used to perform inference on parameters in a Bayesian setting. Analysis of simulated data demonstrates that ignoring observation error can be misleading.