Bayesian networks in reliability

Bayesian networks in reliability

Over the last decade, Bayesian Networks (BNs) have become a popular tool for modelling many kinds of statistical problems. We have also seen a growing interest for using BNs in the reliability analysis community. In this paper we will discuss the properties of the modelling framework that make BNs particularly well suited for reliability applications, and point to ongoing research that is relev...

Bayesian Networks in Reliability Analysis

Bayesian network (BN) models gain more and more popularity in reliability analysis. In this talk I will consider some of the properties of BNs that have made them popular, consider some of the recent developments, and also point to some open problems.

Bayesian Belief Networks in Reliability

Coherentism, Reliability and Bayesian Networks

The coherentist theory of justification provides a response to the sceptical challenge: even though the independent processes by which we gather information about the world may be of dubious quality, the internal coherence of the information provides the justification for our empirical beliefs. This central canon of the coherence theory of justification is tested within the framework of Bayesia...

Applications of Bayesian Networks in Reliability Analysis

Over the last decade, Bayesian Networks (BNs) have become a popular tool for modelling many kinds of statistical problems. In this chapter we will discuss the properties of the modelling framework that make BNs particularly well suited for reliability applications. This discussion is closely linked to the analysis of a real-world example.