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 12 of 12 for “"Smoothing Spline"”.
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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 …
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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 …
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Validation of Criteria Used to Predict Warfarin Dosing Decisions
… agreement. Generalized additive models with smoothing spline estimates were calculated for each of the 14 criteria and compared to the smoothing spline estimate for the method using actual physician decisions (considered the "gold standard"). The area between the criteria method spline and …
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Recursive methods for statistical prediction with applications
… is introduced to compute the generalized smoothing spline estimate, and it is especially useful in calculating the leave-one-out estimates. Two cross validation functions (Kullback-Leibler and least squares cross validation) for estimating the smoothing parameter in the generalized …
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Statistical Methods for In-session Hemodialysis Monitoring
… a new baseline correction method, Iterative Smoothing-spline with Root Error Adjustment (ISREA), which automatically adjusts intensities and employs smoothing-spline to produce a baseline in each iteration, providing better performance on dialysis spectra than a popular method Goldindec, and …
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On estimating the score function and the choice of the smoothing parameter with applications to adaptive estimations
… method of estimating score functions using smoothing spline techniques. Under mild regularity conditions, Cox's estimate is consistent and achieves the optimal rate of convergence. This approach is appealing not only because it is based directly on penalized likelihood methods for the score …
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Numerical and Analytical Methods in Low-Dimensional Strongly Correlated Quantum Systems
… the thesis introduces a statistical smoothing spline method to pinpoint transition points systematically. The work extends to quantum dynamics, presenting a generic theoretical framework for analyzing quantum-classical adiabatic dynamics with learning algorithms. A provably efficient …
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Advances in Survival Analysis: Accurate Partial Likelihood Computation by Poisson-Binomial Distributions and Nonparametric Competing Risk Cox Model
… cause-specific hazards framework with a smoothing spline ANOVA approach. We establish estimation procedures and theoretical convergence rates. Simulation studies demonstrate the method's effectiveness, and application to a multiple myeloma dataset reveals that for each gene expression …
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Likelihood Ratio Combination of Multiple Biomarkers and Change Point Detection in Functional Time Series
… multivariate density functions by utilizing Smoothing Spline density estimation to approximate the full likelihood function for both diseased and non-diseased groups, which compose the likelihood ratio. Simulation results demonstrate the efficiency of our method compared to other biomarker …
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A method of defllectometry based on photogrammetry
… map across the surface. By applying a cubic smoothing spline, we can create an interpolation over the entire surface and construct a full slope map indicating the slope at every location on the reflective surface. Experi-mentation is performed by creating a test surface with a single …
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Probabilistic renewable energy modelling in South Africa
… variable (AQR-2) and penalised cubic regression smoothing spline (benchmark) models. The predictions from this study are valuable to power utility decision-makers and system operators in knowing the maximum possible solar power which can be generated. This helps them make high-risk decisions and …
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Cure Rate Models with Nonparametric Form of Covariate Effects
This thesis focuses on development of spline-based hazard estimation models for cure rate data. Such data can be found in survival studies with long term survivors. Consequently, the population consists of the susceptible and non-susceptible sub-populations with the latter termed as "cured". The …