A guide to Bayesian model selection for ecologists
United States Geological Survey · Colorado State University
Abstract
The steady upward trend in the use of model selection and Bayesian methods in ecological research has made it clear that both approaches to inference are important for modern analysis of models and data. However, in teaching Bayesian methods and in working with our research colleagues, we have noticed a general dissatisfaction with the available literature on Bayesian model selection and multimodel inference. Students and researchers new to Bayesian methods quickly find that the published advice on model selection is often preferential in its treatment of options for analysis, frequently advocating one particular method above others. The recent appearance of many articles and textbooks on Bayesian modeling has…
Citation impact
- FWCI
- 80.58
- Percentile
- 100%
- References
- 101
Authors
2Topics & keywords
- Bayesian probability
- Selection (genetic algorithm)
- Bayesian inference
- Model selection
- Computer science
- Scope (computer science)
- Inference
- Bayesian statistics