Expert Judgement in Risk and Decision Analysis (International Series in Operations Research & Management Science, 293)

ISBN 10: 3030464768 / ISBN 13: 9783030464769

Editore: Springer, 2022

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Dati bibliografici

• Titolo: Expert Judgement in Risk and Decision Analysis (International Series in Operations Research & Management Science, 293)
• Editore: Springer
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3030464768
• ISBN 13: 9783030464769
• Rilegatura: Brossura
• Condizione: New

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Riassunto

This book pulls together many perspectives on the theory, methods and practice of drawing judgments from panels of experts in assessing risks and making decisions in complex circumstances. The book is divided into four parts: Structured Expert Judgment (SEJ) current research fronts; the contributions of Roger Cooke and the Classical Model he developed; process, procedures and education; and applications.<div><br></div><div>After an Introduction by the Editors, the first part presents chapters on expert elicitation of parameters of multinomial models; the advantages of using performance weighting by advancing the “random expert” hypothesis; expert elicitation for specific graphical models; modelling dependencies between experts’ assessments within a Bayesian framework; preventive maintenance optimization in a Bayesian framework; eliciting life time distributions to parametrize a Dirichlet process; and on an adversarial risk analysis approach for structured expert judgment studies.</div><div><br></div><div>The second part includes Roger Cooke’s oration from 1995 on taking up his chair at Delft University of Technology; one of the editors reflections on the early decade of the Classical Model development and use; a current overview of the theory of the Classical Model, providing a deep and comprehensive perspective on its foundations and its application; and an interview with Roger Cooke.</div><div><br></div><div>The third part starts with an interview with Professor Dame Anne Glover, who served as the Chief Scientific Advisor to the President of the European Commission. It then presents chapters on the characteristics of good elicitations by reviewing those advocated and applied; the design and development of a training course for SEJ; and on specific experiences with SEJ protocols with the intention of presenting the challenges and insights collected during these journeys.</div><div><br></div><div>Finally, the fourth (and largest) part begins with some reflections from Willy Aspinall on his many experiences in applying the Classical Model in several application domains; it continues with related reflections on imperfect elicitations; and then it presents chapters with applications on medicines policy and management, supply chain cyber risk management, geo-political risks, terrorism and the risks facing businesses looking to internationalise.<br></div>

Informazioni sull'autore

Anca M. Hanea is a Senior Research Fellow at the Centre of Excellence for Biosecurity Risk Analysis, University of Melbourne, Australia. Her research combines decision (under uncertainty) analysis with structured expert judgement methodologies. Anca’s work focuses on the implementation of uncertainty analysis in decision making.<div><br></div><div>Gabriela F. Nane is an Assistant Professor in the Department of Applied Mathematics at the Delft University of Technology in Delft, The Netherlands. Her research interests include risk analysis, uncertainty analysis and Bayesian networks. Her current research primarily focuses on uncertainty quantification and analysis, both data-driven and by employing expert opinions, both from an applied, as well as from a theoretical perspective.</div><div><br></div><div>Tim Bedford is a Professor of Decision and Risk Analysis at University of Strathclyde, Glasgow. Additionally, he is Associate Principal for Research and Innovation at Strathclyde. His research interests include Structured Expert Judgement and evidence-based decision making, risk acceptance criteria, and decision analysis. He is the co-author with R. Cooke of <i>Probabilistic Risk Analysis: Foundations and Methods</i> (Cambridge), and has co-edited five other books.</div><div><br></div><div>Simon French is a Professor of Statistics in the Applied Statistics and Risk Unit at the University of Warwick, U.K. His research interests include Bayesian statistics, decision making, and risk. He is author or co-author of nine books.<br></div>