Our original paper  omitts a reference to a non-peer-reviewed preprint  that discusses similar issues. The work by Lele  illustrates how priors in Bayesian analysis can impact inference in general and provides cautionary advice about the use of non-informative priors in analyses used for wildlife management. Similar to our paper, Lele  shows how seemingly non-informative priors can influence inference in occupancy models. Our work  builds on this research by further exploring this issue with simulation and an empirical example, describing in plain language the reasons that seemingly non-informative priors can influence inference, and providing potential alternative priors that can be used to provide the inference often desired by researchers.
- 1. Northrup JM, Gerber BD (2018) A comment on priors for Bayesian occupancy models. PLoS ONE 13(2): e0192819. https://doi.org/10.1371/journal.pone.0192819 pmid:29481554
- 2. Lele SR (2015) Is non-informative Bayesian analysis appropriate for wildlife management: survival of San Joaquin Kit Fox and declines in amphibian populations. arxiv.1502.00483
Citation: Northrup JM, Gerber BD (2019) Correction: A comment on priors for Bayesian occupancy models. PLoS ONE 14(2): e0212346. https://doi.org/10.1371/journal.pone.0212346
Published: February 8, 2019
Copyright: © 2019 Northrup, Gerber. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.