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Showing 1 to 4 of 4 for “"Multivariate Smoothing"”.

  1. Bayesian smoothing spline models and their application in estimating yield curves

    … ordered by term to maturity at a given time. The smoothing spline as a nonparametric regression method has been used widely for fitting a smooth curve due to its flexibility and smoothing properties. In this dissertation, a class of Bayesian smoothing spline models is developed for the yield curve …

    missouri Repository record for Bayesian smoothing spline models and their application in estimating yield curves (opens in a new tab)

  2. Fast and stable smoothing spline analysis of variance models for large samples with applications to electroencephalography data analysis

    … parameterization and algorithm used to fit a smoothing spline analysis of variance (SSANOVA) model are computationally expensive, making a generalized additive model (GAM) the preferred method for multivariate smoothing. In this thesis, I propose various approximations and algorithms to …

    uiuc Repository record for Fast and stable smoothing spline analysis of variance models for large samples with applications to electroencephalography data analysis (opens in a new tab)

  3. Advances in spatial modeling for complex data with applications to symbolic data and spatial transcriptomics.

    … address the change-of-support problem through a multivariate smoothing mechanism over the coarse grid, with efficient Bayesian inference facilitated through the Integrated Nested Laplace Approximation (INLA). A bivariate visualization tool is also developed to aid interpretation of the joint …

    baylor Repository record for Advances in spatial modeling for complex data with applications to symbolic data and spatial transcriptomics. (opens in a new tab)

  4. Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data

    … Variable Selection (BVS), recovering sparsity in multivariate nonparametric models and proposing a testing procedure for evaluating nonlinear interaction effect in a semiparametric model. To address the first topic, we propose a new Bayesian variable selection approach via the graphical model and …

    vt Repository record for Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data (opens in a new tab)