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Bayesian shared frailty models for regional inference about wildlife survival

Animal Conservation

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DOI: 10.1111/j.1469-1795.2012.00532.x

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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.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Bayesian shared frailty models for regional inference about wildlife survival
Series title:
Animal Conservation
DOI:
10.1111/j.1469-1795.2012.00532.x
Volume
15
Issue:
2
Year Published:
2012
Language:
English
Publisher:
The Zoological Society of London
Publisher location:
London, England
Contributing office(s):
National Wildlife Health Center
Description:
2 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Animal Conservation
First page:
127
Last page:
128
Number of Pages:
8