Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problem

Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Increasingly, such analyses are being applied to a wider class of

Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world pro

This text presents notions and ideas at the foundations of a statistical treatment of risks. The focus is on statistical applications within the field of engine

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second editio