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Bayesian shared frailty models for regional inference about wildlife survival

April 9, 2012

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.

Citation Information

Publication Year 2012
Title Bayesian shared frailty models for regional inference about wildlife survival
DOI 10.1111/j.1469-1795.2012.00532.x
Authors D.M. Heisey
Publication Type Article
Publication Subtype Journal Article
Series Title Animal Conservation
Series Number
Index ID 70037966
Record Source USGS Publications Warehouse
USGS Organization National Wildlife Health Center