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About Bayesian Regression Modeling with INLA

This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior marginal distributions and is a p

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  • Language:
  • English
  • ISBN:
  • 9780367572266
  • Binding:
  • Paperback
  • Pages:
  • 324
  • Published:
  • June 29, 2020
  • Dimensions:
  • 233x154x28 mm.
  • Weight:
  • 502 g.
Delivery: 1-2 weeks
Expected delivery: January 4, 2025
Extended return policy to January 30, 2025
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Description of Bayesian Regression Modeling with INLA

This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior marginal distributions and is a p

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