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Case Studies in Applied Bayesian Data Science

- CIRM Jean-Morlet Chair, Fall 2018

part of the Lecture Notes in Mathematics series

Case Studies in Applied Bayesian Data Science
About Case Studies in Applied Bayesian Data Science

Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor.

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  • Language:
  • English
  • ISBN:
  • 9783030425524
  • Binding:
  • Paperback
  • Pages:
  • 420
  • Published:
  • May 28, 2020
  • Edition:
  • 12020
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 652 g.
Delivery: 1-2 weeks
Expected delivery: January 1, 2025
Extended return policy to January 30, 2025
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Description of Case Studies in Applied Bayesian Data Science

Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor.

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