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In this study, we explored the challenges of combining PAM towed array data with VLT survey data when the surveys are conducted simultaneously and developed a statistical framework to estimate abundance and surface availability bias. In particular, we focused on the challenge of correcting for duplicate detections. Using simulations and a case study of sperm whales, we explored several methods that range in complexity and data requirements.
Simulated data Our comparison of priors (Normal, Laplace, Regularized horseshoe) to simulated data indicated that posterior distributions of B matrix parameters were qualitatively similar between the Laplace and horseshoe priors, with the latter assigning slightly more density near 0 (Fig. S1).
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