Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan. F. Korner‐Nievergelt, T. Roth, S. von Felten, J. Guélat, B. Almasi, and P. Korner‐Nievergelt. 2015. Elsevier, London,…

By S. Harju. 2016

372 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7b27e0ff72757c6d485dfd40c3325e83a953e499

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Citations in the corpus

• The relative performance of sampling methods for native bees: an empirical test and review of the literature (2020, methodology): “Models were tested for overdispersion using the dispersion_glmer function in the package blemco (Korner-Nievergelt et al. 2015); response variables were transformed in order to improve model fit with the particular transformation (e.g., ln, ln + 0.1, log10) depending on the fit of residuals.”
• Moving beyond noninformative priors: why and how to choose weakly informative priors in Bayesian analyses (2019, background): “The model in Eq. 35–38, as described in Kruschke (2010), assumes that intercepts and slopes are independent.”