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 5 of 5 for “"high-dimensional analysis"”.
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High Dimensional Analysis of Genetic Data for the Classification of Type 2 Diabetes Using Advanced Machine Learning Algorithms
… understanding the underlying causes of T2D is high on government agendas. The condition is a multifactorial disorder with a complex aetiology. This means that T2D emerges from the convergence between genetics, the environment and diet, and lifestyle choices. The genetic determinants remain …
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High-Dimensional Design Evaluations For Self-Aligning Geometries
… limitations and costly algorithms prevented high-dimensional analysis. The algorithms presented in this dissertation will show a reduced computational time and improved resolution for this kind of problem. This dissertation reviews multiple methods for evaluating modular robot connector …
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Novel Statistical Methods for Mediation Analysis with High-dimensional Omics Mediators
<p>Mediation analysis is a widely used statistical method for examining how molecular traits, such as gene or protein expression, act as intermediaries linking an exposure to a health outcome. For example, it can help explain how smoking affects disease risk through molecular changes. The rapid …
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Efficient solution of the Fokker-Planck Equation via smooth particle hydrodynamics for nonlinear estimation
Modeling and predicting the transient behavior of higher dimensional nonlinear dynamical systems subject to Gaussian white noise excitation remains an open problem with broad application to nonlinear estimation, uncertainty quantification, and reliability to name but a few. These problems remain …
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Semiparametric Characteristics-based Models of Asset Returns
… questions in financial econometrics, namely, high dimensional analysis and the approximation of uni-variate and multi-variate unknown functions. The tools extended by this thesis are B-splines and orthogonal series, and multi-variate unknown functions are approximated by tensor products. In …