Titlebook: Bayesian Essentials with R; Jean-Michel Marin,Christian P. Robert Textbook 2014Latest edition Springer Science+Business Media, LLC, part o

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,Capture–Recapture Experiments,ding its main characteristic, the size of the population. In the case of capture–recapture surveys, individuals are observed and identified either once or several times and the repeated observations can be used to draw inference on the population size and its dynamic characteristics.

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https://doi.org/10.1007/978-3-030-22254-3ding its main characteristic, the size of the population. In the case of capture–recapture surveys, individuals are observed and identified either once or several times and the repeated observations can be used to draw inference on the population size and its dynamic characteristics.

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,User’s Manual,The . is a section that will start each chapter by providing a commented table of contents. It also usually contains indications on the purpose of the chapter.

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,Capture–Recapture Experiments,ding its main characteristic, the size of the population. In the case of capture–recapture surveys, individuals are observed and identified either once or several times and the repeated observations can be used to draw inference on the population size and its dynamic characteristics.

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Image Analysis,t with the statistical analysis of Markov random fields, which are extensions of Markov chains to the spatial domain, as they are instrumental in this chapter. This is also the perfect opportunity to cover the ABC method, as these models do not allow for a closed form likelihood. Image analysis has

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