… actions (ie to conduct a decision analysis). There are usually … The purpose of this paper is
to review the Bayesian approach … This approach can therefore address the issue of assigning …

… , the Bayes analysis proceeded by (1) asking the decision-… expected losses of each decision
rule being considered, (3) … classical and Bayesian approaches to decision problems. * It …

… by other professional people generally interested in risk assessment and decision making.
Our approach makes no assumptions about previous probability and statistical knowledge. It …

… a Bayesian approach as an alternative, or perhaps as a supplement. The two approaches
have … I will distinguish what I call a fully Bayesian approach from partial Bayesian approaches, …

… the Bayesian approach to conditioning, but a few words. should be said about the conditional
frequentist approaches … for generalizing the book's frequentist decision theory to allow for …

… Bayesian Decision Analysis and describes how this theory can be applied to a wide range of
decision … The Bayesian decision analyses described in this book provide a framework that: …

… : Bayesian decision analysis offers a useful framework for helping to achieve a precautionary
approach to … We applied Bayesian decision analysis to a hypothetical developing fishery in …

… Conventionally, one of the bottlenecks to practical applications of Bayesian approaches
has been the high amount of computation required. Powerful numerical techniques have not …

… This paper presents a new approach to multi-actor decision making (systemic decision
making - SDM), which has been applied, with a Bayesian perspective, in the specific context of …

… Bayesian approach holds an appeal since it provides a flexible modelling framework, allowing
us to venture beyond the confines of analyses … two approaches is that Bayesian methods …