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Bayesian Regression Modeling with INLA

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 30, 2020
  • Dimensions:
  • 233x154x28 mm.
  • Weight:
  • 502 g.
Delivery: 1-2 weeks
Expected delivery: October 4, 2024

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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