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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

af Elias Krainski
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA af Elias Krainski
Bag om Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the R-INLA package for the R statistical software provides a way to fit such models in practice

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780367570644
  • Indbinding:
  • Paperback
  • Sideantal:
  • 284
  • Udgivet:
  • 30. Juni 2020
  • Størrelse:
  • 234x155x19 mm.
  • Vægt:
  • 452 g.
  • 2-3 uger.
  • 9. Oktober 2024
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The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the R-INLA package for the R statistical software provides a way to fit such models in practice

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