Bayesian Statistics for Scientists and Engineers

Bayesian Statistics for Scientists and Engineers presents Bayesian inference as a coherent method for learning from observations while making assumptions explicit. Written for scientists, engineers, physicians, mathematicians and students, the book develops the foundations of probability and connects them to Bayesian models, computation, prediction and decision-making. Worked examples and exercises guide readers from principles to scientific and engineering applications, with an emphasis on checking models, interpreting uncertainty and understanding the limits of statistical conclusions.