Titlebook: Case Studies in Applied Bayesian Data Science; CIRM Jean-Morlet Cha Kerrie L. Mengersen,Pierre Pudlo,Christian P. Robe Book 2020 The Editor

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Introductionals with Bayesian modeling and part B which presents real-world case studies. The last part of the chapter details the organization of the various events related to the Jean-Morlet Chair. It ends with the issues and research directions identified by the participants of the Conference on Bayesian Sta

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A Comparison of Bayesian Spatial Models for Cancer Incidence at a Small Area Level: Theory and Perfoy assume a smooth spatial surface (termed global smoothing), or allow for discontinuities between areas (termed local spatial smoothing). A range of global and local Bayesian spatial models suitable for disease mapping over small areas are examined, including the foundational and still most popular

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