The Oxford Handbook of Applied Bayesian Analysis

“The breadth of topics covered in this collection is impressive, from plant demography to nuclear power plant maintenance to the reliability of train doors. Some fascinating application areas were ones I had never encountered previously, such as music-to-score transcription: creating a written musical score from raw audio signals, as discussed be Cemgil et al. The inclusion of an expert elicitation example by Choy et al. was also very welcome.” – JASA

Tony O’Hagan is internationally recognized for his research in the methodology and applications of Bayesian statistics. Following BSc and PhD degrees from the University of London, he taught at the Universities of Dundee and Warwick before becoming a full professor at the University of Nottingham and then the University of Sheffield. He has also spent two years working in the electricity industry. He has substantial applied expertise from applications in manyfields, including engineering, health, environmental science and finance.

Mike West is an international research and educational leader in statistical science whose areas of expertise span a range ofareas in Bayesian statistical modelling and computational statistics, and inter-disciplinary applications in science, biomedicine, finance and other areas. West was a faculty member at the leading Bayesian centre at Warwick University UK in the 1980s, and led the development of one of the main centres worldwide - at DukeUniversity – during the 1990s and into the Bayesian 21st century. As distinguished professor of statistical science at Duke University, West is broadly engaged in national and international professional activities, his research continues to emphasise Bayesian methodology development and applications of complex stochastic modelling, while his major professional focus remains the engagement and mentoring of future statistical scientists.