Bayesian shared frailty models for regional inference about wildlife survival
Animal Conservation
By: 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.
| 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. |
| First page | 127 |
| Last page | 128 |
| Google Analytic Metrics | Metrics page |