A Bayesian Random Effects Discrete-Choice Model for Resource Selection: Population-Level Selection Inference

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Correlation and studies of habitat selection: problem, red herring or opportunity? (2010, methodology): “2002), are frequently used to analyse the combined used-available sample data; however, a multi-nomial or conditional-logit likelihood can also be used (Cooper & Millspaugh 1999; Compton et al. 2002; Thomas et al. 2006; Craiu et al. 2008).”
Study Designs and Tests for Comparing Resource Use and Availability II (2006, methodology): “Methods for dealing with differing numbers of relocations of animals to appropriately describe the error in population level inferences (e.g., Thomas et al. 2006) have been proposed, but additional work in this area is needed.”
Population-level resource selection by sympatric brown and American black bears in Alaska (2009, methodology): “In these situations, habitat attributes are derived from cells distributed randomly or systematically across the area of interest and count data for individuals are estimated for each cell (Millspaugh et al. 2006; Thomas et al. 2006).”