We invite all Bayesians to submit an abstract to a Bayesian inference in fisheries symposium! Background and submission information are below. During the submission process, select the symposium title from the list of available sessions (9234: Bayesian Inference: Applications and Interpretation).
Title: Bayesian Inference: Applications and Interpretation
Bayesian inference has become a common tool used by fisheries managers, scientists, and researchers. However, many are still learning about the utility of this tool to make decisions about their study system and appropriately handle messy ecological data. Bayesian inference permits modeling complex relationships, provides a transparent method of incorporating prior information, and model results provide a rich suite of information about the study system. The objective of this symposium is to provide fisheries managers, scientists, and researchers examples of how Bayes can be used and interpreted in a range of basic and applied ecological research questions.
We invite submissions from any application of Bayesian inference to fisheries problems. We invite contributors to highlight specific approaches and thorough model interpretation. We are particularly seeking submissions that incorporate prior information into their analyses. Potential topics include, but not limited to:
- Stock assessment
- Age & growth
- Diet studies
- Community assessment
- Movement studies
- Hierarchical models
To submit an abstract on or before Friday, March 20, go to
AFS 2020 abstract submission site: https://afs.confex.com/afs/2020/cfp.cgi
AFS 2020 meeting site: https://afsannualmeeting.fisheries.org/
Jason C. Doll, Francis Marion University
Zachary S. Feiner, Wisconsin Department of Natural Resources