Propagating uncertainty in ecological models to understand causation
Author:
Affiliation:
1. Ecology, Evolution, and Behavior program Michigan State University East Lansing MI
2. Department of Integrative Biology Michigan State University East Lansing MI
3. Gund Institute for Environment University of Vermont Burlington VT
Publisher
Wiley
Subject
Ecology,Ecology, Evolution, Behavior and Systematics
Link
https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/fee.2610
Reference16 articles.
1. Toward an improved understanding of causation in the ecological sciences
2. Split-Sample Instrumental Variables Estimates of the Return to Schooling
3. Predictive models aren't for causal inference
4. Ignoring uncertainty in predictor variables leads to false confidence in results: a case study of duck habitat use
5. Integrating Mark-Recapture-Recovery and Census Data to Estimate Animal Abundance and Demographic Parameters
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