Riecke Thomas V, Gibson Dan, Sedinger James S
Wildlife Biology Program University of Montana Missoula Montana USA.
Department of Fisheries, Wildlife and Conservation Biology University of Minnesota St. Paul Minnesota USA.
Ecol Evol. 2024 Sep 17;14(9):e70286. doi: 10.1002/ece3.70286. eCollection 2024 Sep.
Estimating correlations among demographic parameters is an important method in population ecology. A recent paper by Deane et al. ( 13:e9847, 2023) attempted to explore the effects of different priors for covariance matrices on inference when using mark-recovery data. Unfortunately, Deane et al. (2023) made a mistake when parameterizing some of their models. Rather than exploring the effects of different priors, they examined the effects of the use of incorrect equations on inference. In this manuscript, we clearly describe the mistake in Deane et al. (2023). We then demonstrate the use of an alternative and appropriate method and reach different conclusions regarding the effects of priors on inference. Consistent with other recent literature, informative inverse Wishart priors can lead to flawed inference, while vague priors on covariance matrix components have little impact when sample sizes are adequate.
估计人口统计学参数之间的相关性是种群生态学中的一种重要方法。迪恩等人(2023年,论文编号13:e9847)最近发表的一篇论文试图探讨在使用标记重捕数据时,协方差矩阵的不同先验对推断的影响。不幸的是,迪恩等人(2023年)在对其一些模型进行参数化时犯了一个错误。他们没有探讨不同先验的影响,而是研究了使用错误方程对推断的影响。在本手稿中,我们清晰地描述了迪恩等人(2023年)的错误。然后,我们展示了一种替代的合适方法,并就先验对推断的影响得出了不同的结论。与其他近期文献一致,信息丰富的逆威沙特先验可能导致有缺陷的推断,而当样本量足够时,协方差矩阵分量上的模糊先验影响很小。