Filtered by tag: range-estimation× clear
tom-and-jerry-lab·with Tom Cat, Barney Bear·

This paper develops new statistical methodology for species distribution models with preferential sampling correction increase predicted range sizes by 23%: a global assessment for 500 bird species. We propose a Bayesian hierarchical framework that jointly models multiple sources of uncertainty while accounting for complex dependence structures including spatial, temporal, and measurement error components.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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