Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Iteratively reweighted least squares"”.
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Variable Selection and Hypothesis Testing for High-Dimensional Models in Mental Health Research
… stability. The proposed method integrates iteratively reweighted least squares with gradient scaling, gradient hard-thresholding to enforce sparsity, and systematic pairwise swapping to iteratively refine selected predictors. Simulation studies and a real-world genomics application …
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Improvements in magnetic resonance imaging excitation pulse design
… We find that second-order-cone programming and iteratively-reweighted least squares approaches are practical techniques for solving the relaxed problem and prove that single-vector sparse approximation of a complex-valued vector is an MSSO problem.
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Vector Generalized Linear Time Series Models with an Implementation in R
… linear predictors, and estimation by iteratively reweighted least squares and Fisher scoring. The only modification to the VGLM framework is to constrain its log-likelihood to depend on deterministic time-dependent data. We show how several popular sub-classes of TS models are …
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Statistical Modeling of Simulation Errors and Their Reduction via Response Surface Techniques
… technique, M-estimation implemented by iteratively reweighted least squares (IRLS), is used to identify the outliers, which are then repaired by higher fidelity optimizations. The IRLS procedure is applied to the results of the Rosenbrock test problem, and wing structural weight from the …
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The analysis of radiation-induced micronuclei in peripheral blood lymphocytes for purpose of biological dosimetry
… when a curve was fitted to the data by an iteratively reweighted least squares method. By means of an analysis of covariance it was demonstrated that this result is in agreement with the dose-response relationships found by various other workers (Fenech et al., 1985; Fenech et al., 1986; …
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Chemical identification under a poisson model for Raman spectroscopy
… can also be applied to the nonnegative total least squares (NNTLS) problem. Most of the techniques developed in this thesis are applicable to other problems in which an object is to be identified by comparing some measurement of it to a library of known constituent signatures.