TL;DR
This paper presents a collection of Big Bayes Stories spanning scientific fields like cosmology and public policy issues such as health and fisheries management.
Contribution
It categorizes Big Bayes Stories into scientific and public policy groups, illustrating their diverse applications.
Findings
Big Bayes Stories are relevant to both sciences and public policy.
The collection highlights the interdisciplinary nature of Bayesian approaches.
Partitioning stories helps in understanding their contextual applications.
Abstract
This collection of Big Bayes Stories could be partitioned into two groups, one relating to the sciences, cosmology in particular, and the other relating to public policy, that is, health, fisheries management and demographics.
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