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

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9781138369856
  • Bindende:
  • Hardback
  • Sider:
  • 298
  • Utgitt:
  • 19 desember 2018
  • Dimensjoner:
  • 240x160x22 mm.
  • Vekt:
  • 650 g.
  På lager
Leveringstid: 4-7 virkedager
Forventet levering: 10 oktober 2024

Beskrivelse av 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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