Robust Bayesian analysis of animal networks subject to biases in sampling intensity and censoring

Robust Bayesian analysis of animal networks subject to biases in sampling intensity and censoring

Abstract Data collection biases are a persistent issue for studies of social networks. This issue has been particularly important in animal social network analysis (ASNA), where data are often unevenly sampled and such biases may potentially lead to incorrect inferences about animal social behaviour...

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Bibliographic Details
Main Authors: Sebastian Sosa, Mary B. McElreath, Daniel Redhead, Cody T. Ross
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Methods in Ecology and Evolution
Subjects:
animal networks
generative models
social interactions
social networks
Online Access:https://doi.org/10.1111/2041-210X.70017
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