… also to the implementation of Bayesian decision-theoretic approaches in … Bayesian methods
to solve decision problems in reliability some of which involve two or more decision makers …

… fully demonstrate the unifying contribution of the Bayesian decision-making perspective; the
main purpose of this article is to argue that focusing on the decision structure at the heart of …

… When making a decision, one must first accumulate evidence, often over time, and then
select the appropriate action. Here, we present a neural model of decision making that can …

… In this tutorial, we review the principles of Bayesian models of decision making and then
focus on five case studies with exercises. We conclude with reflections and future directions. …

… such decisions place on the rationality of the decision maker. … Here I explore the issues
raised by a Bayesian decision … in the general spirit of Bayesian decision makers in the learning …

… Moreover, recursive techniques have been applied to analyze Bayesian decision problems
… literature by offering new cases where Bayesian decision making is tractable (see Sections …

… decision problem with unknown transition probabilities. We compute the exact Bayesian
decision … approximation that assumes that the decision maker knows the transition probabilities. …

… Bayesian decision makers. That is, we respond to the question posed in the opening sentences
of this essay when only two Bayesian "ex… The group decision involves amalgamating the …

… (2) I consider only classes of decision problem where a single or group decision maker (DM)
must find a single agreed rationale for her stated beliefs and preferences and it is this DM …

… To choose appropriate decisions over time, a cell must be equipped … decision making. By
using the theory of sequential inference, I demonstrate that dynamic Bayesian decision making …