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Showing 1 to 2 of 2 for “"Integrated Nested Laplace Approximations"”.

  1. Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties

    … and using a simulation-based study, the wavelet approximations are compared with two of the most popular methods for efficient approximations of Gaussian fields. A new class of spatial models, including the Gaussian Matérn fields and a wide family of fields with oscillating covariance functions, …

    lund Repository record for Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties (opens in a new tab)

  2. Computational Bayesian inference using low discrepancy sequences

    The Integrated Nested Laplace Approximation (INLA) provides fast and accurate Bayesian inference for complex hierarchical models. For INLA, and other deterministic methods, the hyperparameter space is explored and points are laid out in a grid structure. These points are used in some numerical …

    waikato-masters Repository record for Computational Bayesian inference using low discrepancy sequences (opens in a new tab)