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 “"GLASSO"”.
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Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative GLASSO and Projection
Learning a suitable graph is an important precursor to many graph signal processing (GSP) tasks, such as graph signal compression and denoising. Previous graph learning algorithms either make assumptions on graph connectivity (e.g., graph sparsity), or make individual edge weight assumptions such …
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Think global, act local when estimating a sparse precision matrix
… of L1 penalized optimization approaches like GLASSO. This thesis introduces LGM, a new algorithm for the estimation of sparse high dimensional precision matrices. Using the framework of probabilistic graphical models, the algorithm performs robust covariance estimation to generate potentials …
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The Nature of Night Eating Syndrome: Using Network Analysis to Understand Causal Symptomological Relationships
… least absolute shrinkage and selection operator (GLASSO) method, was used to estimate network. Symptoms with high centrality indices were assessed via bootstrapped difference tests. Results indicated that depressed mood and a strong urge to eat upon awakening at night were highly central to the …
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Detecting Dependence Change Points in Multivariate Time Series with Applications in Neuroscience and Finance
… 2011) technique, which we contrast with the glasso technique used by DCR.
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Statistical Methods for Genetic Pathway-Based Data Analysis
The wide application of the genomic microarray technology triggers a tremendous need in the development of the high dimensional genetic data analysis. Many statistical methods for the microarray data analysis consider one gene at a time, but they may miss subtle changes at the single gene level. …