Bayesian shared frailty models for regional inference about wildlife survival

D.M. Heisey

doi:10.1111/j.1469-1795.2012.00532.x

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Bayesian shared frailty models for regional inference about wildlife survival

D.M. Heisey

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Abstract

One can joke that 'exciting statistics' is an oxymoron, but it is neither a joke nor an exaggeration to say that these are exciting times to be involved in statistical ecology. As Halstead et al. 's (2012) paper nicely exemplifies, recently developed Bayesian analyses can now be used to extract insights from data using techniques that would have been unavailable to the ecological researcher just a decade ago. Some object to this, implying that the subjective priors of the Bayesian approach is the pathway to perdition (e.g. Lele & Dennis, 2009). It is reasonable to ask whether these new approaches are really giving us anything that we could not obtain with traditional tried-and-true frequentist approaches. I believe the answer is a clear yes.

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D.M. Heisey. 2012-03-19. Bayesian shared frailty models for regional inference about wildlife survival. https://doi.org/10.1111/j.1469-1795.2012.00532.x

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