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 9 of 9 for “"Penalized spline"”.
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Estimating Spot Price and Smooth Forward Curve in Electricity Markets with Bayesian Penalized Spline
The first part of this thesis presents a Bayesian penalized spline approach to constructing smooth forward curves in electricity markets. Since electricity should be delivered as a continuous flow, power contracts have settlement periods rather than a fixed delivery time. In addition, electricity …
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Penalized spline modeling of the ex-vivo assays dose-response curves and the HIV-infected patients' bodyweight change
… curve from the population average. Here, a penalized spline regression method that allows modeling of the smooth dose-response relationship is applied to data in studies monitoring malaria drug resistance through the ex-vivo assays.The second part of the dissertation extends the SiZer map, …
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Flexible models and methods for longitudinal and multilevel functional data
… the first part of this dissertation, we propose penalized spline (P-spline)-based methods for functional mixed effects models with varying coefficients. This work is motivated by a clinical study of Complicated Grief (Shear et al. 2005). In the Complicated Grief Study, patients receive active …
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Multivariate Nonstationary Time Series: Spectrum Analysis and Dimension Reduction
… are fit through Whittle likelihood based penalized spline models of modified Cholesky components, which provide flexible nonparametric estimates that preserve positive definite structures of spectral matrices. The approach is formulated in a Bayesian framework, in which the number and …
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Comparison of Trend Detection Methods
… greater flexibility than those currently in use. Penalized spline regression provides a flexible technique for fitting a smooth curve. This method has proven useful in many areas including environmental monitoring; however, inference is more difficult than with ordinary linear regression because …
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Comparison of Trend Detection Methods
… greater flexibility than those currently in use. Penalized spline regression provides a flexible technique for fitting a smooth curve. This method has proven useful in many areas including environmental monitoring; however, inference is more difficult than with ordinary linear regression because …
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Rapid identification of oil contaminated soils using visible near infrared diffuse reflectance spectroscopy
… 1.70. Those 46 samples were used to calibrate a penalized spline (PS) model. Subsequently, the PS model was used to predict soil TPH content for 128 soil samples collected over an 80 ha study site. An exponential semivariogram using PS predictions revealed strong spatial dependence among soil TPH …
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Profile Monitoring with Fixed and Random Effects using Nonparametric and Semiparametric Methods
… X generally enables more knots to be used by the penalized spline method, resulting in greater flexibility and improved fits in the nonparametric curves and consequently, the semiparametric curves. The parametric, nonparametric and semiparametric approaches were utilized for fitting the …
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Statistical Modeling of Longitudinal Medical Cost Data
<p>Projecting the future cancer care cost is critical in health economics research and policy making. An indispensable step is to estimate cost trajectories from an incident cohort of cancer patients using longitudinal medical cost data, accounting for terminal events such as death, and right …