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 13 of 13 for “"Kernel smoothing"”.
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Bias Assessment and Reduction in Kernel Smoothing
… local polynomial regression (LPR) with kernel smoothing, the choice of the smoothing parameter, or bandwidth, is critical. The performance of the method is often evaluated using the Mean Square Error (MSE). Bias and variance are two components of MSE. Kernel methods are known to exhibit …
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Practical Aspects Of Kernel Smoothing For Binary Regression And Density Estimation
This thesis explores the practical use of kernel smoothing in three areas: binary regression, density estimation and Poisson regression sample size calculations. Both nonparametric and semiparametric binary regression estimators are examined in detail, and extended to two bandwidth cases. The …
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Merging quadratic programming with kernel smoothing for automated cluster expansions of complex lattice Hamiltonians
… mathematical tool of Tikhonov regularization (kernel smoothing) for automated expansions of an arbitrary general physical property without compromising the underlying physics. Throughout the thesis we treat formation energy as the fundamental physical observable to expand on since the …
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Nonparametric metamodeling for simulation optimization
… principal nonparametric techniques, spline and kernel smoothing, and subsequently addresses the issues involved in implementing the techniques in a knowledge-based simulation optimization system. The dissertation consists of two parts. In the first part, a full factorial experiment is carried …
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Inference of high-dimensional linear models with time-varying coefficients
… on a novel combination of the nonparametric kernel smoothing technique and a Lasso bias-corrected ridge regression estimator using a bias-variance decomposition to address non-stationarity in the model. A hypothesis testing setup with familywise error control is presented alongside synthetic …
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Field Evaluation Methodology for Quantifying Network-wide Efficiency, Energy, Emission, and Safety Impacts of Operational-level Transportation Projects
… also, investigates the ability of various data smoothing techniques to remove such erroneous data without significantly altering the underlying vehicle speed profile. Several smoothing techniques are then applied to the acceleration profile, including data trimming, Simple Exponential smoothing, …
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Some issues in item response theory
… We realize this procedure by using a kernel smoothing technique. Asymptotic normality of the test statistic is given and proved, which in turn justifies our procedure. Simulation studies show the procedure works well for the case of large examinee sample sizes. Some Graduate Record …
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Essays on Cross-Sectional and Network Dependence
… dependence, and the moments of the kernel functions. Conditions are derived for central limit theorems to hold as corollaries. Chapter 2: We apply the limiting distribution theory for degenerate U-statistics, discussed in the previous chapter, to kernel smoothing based nonparametric …
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Quantile-based methods for prediction, risk measurement and inference
… is that of estimation of expected shortfall via kernel smoothing. The goal here is to introduce methods that will reduce the estimation bias of expected shortfall. To this end, several one-step bias correction expected shortfall estimators are presented and investigated via simulation studies and …
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Nonparametric Modelling for Directional Data
… estimators are compared with the commonly-used kernel smoothing method. Overall, nonparametric mixtures have highly competitive and sometimes superior performance to its competitors. Apart from estimating a reasonable density curve, an insightful data visualization is also indispensable. We …
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Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data
… estimate the unknown function using kernel smoothing and also provide a permutation based testing procedure to detect multiple change points. We show the asymptotic properties of the permutation testing based procedure. The advantage of our approach is demonstrated using the mortality …
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Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data
… patterns of the disease using statistical smoothing techniques. We also use the space and space-time scan statistics to reveal the presence of clusters in the spatial and spatial/temporal distribution of Lyme disease. Chapter 5 builds a predictive model for Lyme disease based on historical …
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One and Two-Step Estimation of Time Variant Parameters and Nonparametric Quantiles
… and discusses several one-step and two-step smoothing methods of time variant nonparametric quantiles and time variant parameters from probability models. First, we investigate and develop nonparametric techniques for measuring extreme quantiles. The method involves aggregating data by an …