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Oxford Handbooks in Mathematics

Cette série propose des aperçus faisant autorité et à jour de la recherche originale dans le domaine des mathématiques. Des chapitres commandés spécialement à des figures de proue offrent des analyses critiques des progrès et de la direction des débats, ainsi qu'une base pour les recherches futures. Ces volumes présentent aux universitaires et aux étudiants de troisième cycle de nouvelles perspectives convaincantes dans un large éventail de disciplines mathématiques, repoussant les frontières de la connaissance.

The Oxford Handbook of Applied Bayesian Analysis

Ordre de lecture recommandé

  1. Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry.This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.

    The Oxford Handbook of Applied Bayesian Analysis