Bayesian Models: A Statistical Primer for Ecologists

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What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis? (2020, background): “1 K-fold (Anguita et al. 2012) is also referred to as V-fold (Arlot and Celisse 2010) and M-fold (Hobbs and Hooten 2015; M here is in reference to the Markov chain Monte Carlo algorithm).”
Hierarchical Species Distribution Models (2016, background): “The framework we present originates from [8], but introductions can be found in [15, 16], and [51].”
Moving beyond noninformative priors: why and how to choose weakly informative priors in Bayesian analyses (2019, background): “Hobbs and Hooten (2015) provided the example of using flat priors to estimate a probability from binary data.”
Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations (2017, methodology): “…models are estimated using a Bayesian hierarchical approach, uncertainty occurring at all levels of the model can be propagated through to prediction and subsequent estimation of means and totals for areal units (Berliner, 1996; Cressie & Wikle, 2011; Gelfand & Smith, 1990; Hobbs & Hooten, 2015).”