Bayesian Analysis for Population Ecology

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Chapman & Hall/CRC, Sep 15, 2009 - Mathematics - 442 pages
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Modern Bayesian methods have an important role to play in population ecology. Statistical methods for the analysis of mark-recapture-recovery data on wild animals continue to develop in response to the availability of long-term data sets and advances in animal marking and tracking techniques. Bringing together top experts in the field, this book presents up-to-date Bayesian procedures in an accessible manner, illustrated by a wide range of real examples and complemented by accessible computer programs. The authors include WinBUGS and R code for all of the analyses that are performed in the text.

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Contents

Introduction
3
Data Models and Likelihoods
15
Classical Inference Based on Likelihood
49
Copyright

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About the author (2009)

Ruth King is a lecturer in statistics at the University of St. Andrews and recently held an EPSRC Research Fellowship. Olivier Gilnenez is a research scientist in Biostatistics at the Centre National de la Recherche Scientifique, Montpellier and a former Marie Curie research fellow. Byron Morgan is a Professor of Applied Statistics at Kent and the Director of the EPSRC National Centre for Statistical Ecology. Steve Brooks is a Professor of Statistics in Cambridge and a former EPSRC Advanced Fellow.