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Showing 1 to 6 of 6 for “"Gaussian Markov random fields"”.

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

    … focus of this work is on the development of new random field models and methods suitable for the analysis of large environmental data sets. A large part is devoted to a number of extensions to the newly proposed Stochastic Partial Differential Equation (SPDE) approach for representing Gaussian

    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. On the low-dimensional structure of Bayesian inference

    … the associated high-dimensional and non-Gaussian posterior distributions remains a challenging task. While the Bayesian formulation is quite general, essential features of a statistical model can bring additional structure to the Bayesian update. For instance, the prior distribution often …

    mit Repository record for On the low-dimensional structure of Bayesian inference (opens in a new tab)

  3. Cosmology with Weak Lensing Peaks

    … peak count distributions to those in a Gaussian random field. We find significant differences, both in the peak-count distributions themselves, as well as in how the distributions depend on cosmology, demonstrating that the peaks contain non-Gaussian information. To explicitly quantify …

    columbia-diss Repository record for Cosmology with Weak Lensing Peaks (opens in a new tab)

  4. Computationally Efficient Specifications of Spatial Point Process Models and Spatio-Temporal Gaussian Models: Combining Remote Sensing Drivers with Geospatial Disease Case Data to Enhance Geographic Epidemiology

    … hierarchical models specified using a latent Gaussian Markov Random Field (GMRF) are evaluated for use in analyzing large complex spatial and spatio-temporal data with the goal of contributing to an interdisciplinary effort of developing an eco-epidemiological model that quantifies the …

    unh-thes Repository record for Computationally Efficient Specifications of Spatial Point Process Models and Spatio-Temporal Gaussian Models: Combining Remote Sensing Drivers with Geospatial Disease Case Data to Enhance Geographic Epidemiology (opens in a new tab)

  5. Statistical Methods for Human Rights and Child Mortality Estimation

    This dissertation addresses statistical methodology commonly used in human rights research and child mortality estimation. We first consider two related problems, record linkage and multiple-systems estimation, typically used to estimate the number of civilian casualties in the wake of a conflict …

    washington Repository record for Statistical Methods for Human Rights and Child Mortality Estimation (opens in a new tab)