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 “"Network Estimation"”.
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Neural network estimation of disturbance growth and flow field structure of spatially excited jets
Neural networks were applied to the estimation problem consisting of identifying both nearfield and quasi-farfield flow structures of a jet undergoing spatial mode excitation. The evolution of disturbances introduced by a spatially excited jet spans a linear and nonlinear regime in the downstream …
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Methods for the estimation and application of biological networks
… two advances in the study of biological networks in these datasets, introducing improved methods for estimating network structure and for describing changes in pathway behavior in disease. The first method, the "Joint Graphical Lasso," is an extension of existing network estimation …
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Time-varying networks estimation and Chinese words segmentation
… two research areas including time-varying networks estimation and Chinese words segmentation. Chapter 1 introduces the background of the time-varying networks and the structure of Chinese language, followed by the motivations and goals for the research work. In many biomedical and social …
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Semiparametric and Nonparametric Methods for Complex Data
… identify important variables and build a network in HDHC data; the third is to propose a multi-class dynamic model for recognizing a pattern in the time-trend analysis. For the first topic, we propose a semiparametric omnibus test for testing the significance of a functional association …
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Graphical models for high-dimensional stochastic processes: Estimation and inference
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Development of the single-molecule tracking and fluorescence lifetime techniques for biophysical measurements and biomedical applications
… lifetime imaging based on Generative Adversarial Network Estimation) that can rapidly generate accurate and high-quality FLIM images even in the photon-starved conditions. I demonstrated our model is not only up to 2,800 times faster than the gold standard time-domain maximum likelihood estimation …