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 15 of 15 for “"covariance model"”.
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Modeling spatial covariance functions
<p>Covariance modeling plays a key role in the spatial data analysis as it provides important information about the dependence structure of underlying processes and determines performance of spatial prediction. Various parametric models have been developed to accommodate the idiosyncratic features …
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Big data analytics in computational biology and bioinformatics
… than its primary nucleotide sequence. Using a covariance model approach, the stems and loops of an ncRNA secondary structure are represented as a statistical image against which an entire genome can be efficiently scanned for matching patterns. The covariance model approach is then further …
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A non-convex framework for structured non-stationary covariance recovery theory and application
Flexible, yet interpretable, models for the second-order temporal structure are needed in scientific analyses of high-dimensional data. The thesis develops a structured time-indexed covariance model for non-stationary time-series data by decomposing them into sparse spatial and temporally smooth …
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Uma investigação sobre métodos de separação cega de fontes sonoras envolvendo representações não-negativas e diversidade espacial
… up new research directions regarding the proper modeling of multichannel source separation This work studies two different algorithms: NMF-SCM (sound source separation using non-negative matrix factorization and direction-of-arrival-based spatial covariance model), whose model represents the …
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Predictive parameter estimation for Bayesian filtering
… I develop CELLO, an algorithm for predicting the covariances of any Gaussian model used to account for uncertainty in a complex system. The primary motivation for this work is state estimation; often, complex raw sensor measurements are processed into low dimensional observations of a vehicle …
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Factors affecting family size preference: the case of Taiwan, 1970
… developing countries. A multi-level theoretical model and a statistical estimation procedure were specially developed to aid in the analysis of this problem. A data set from a large-scale survey by Wolfgang L. Grichting, The Value System in Taiwan, was secured from the survey Research center at …
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The effect of locational uncertainty in geostatistics
… drawn from the data;We propose a statistical model for incorporating locational error into spatial data analysis. We investigate the effect of locational error on the spatial lag, the covariance function, the variogram, and optimal spatial prediction (aka, kriging). We show that the basic …
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On the equivalence of sparse statistical problems
… and for support recovery under the single spiked covariance model as obtained by the current best polynomial-time algorithms. Our reduction not only highlights the inherent similarity between the two problems, but also, from a practical standpoint, it allows one to obtain a collection of …
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Tensors, sparse problems and conditional hardness
… and for support recovery under the single spiked covariance model as obtained by the current best polynomial-time algorithms. Second, we push forward the study of linear algebra properties of tensors by giving a tensor rank detection gadget for tensors in the smoothed model. Tensors have had a …
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The relationship of manipulative materials to achievement in three areas of fourth-grade mathematics: computation, concept development and problem-solving
… the posttests were analyzed using an analysis of covariance model with multiple contrasts. The analysis of scores on the SRA tests showed no significant difference between groups on the concepts and computation tests. Group A, which used manipulative materials for introduction, scored …
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Novel Algorithms for Structural Alignment of Non-coding RNAs
… challenges for sequence analysis. Probabilistic covariance models are effective representations of structural RNAs, with generally high sensitivity and specificity but slow computational speed. New algorithms for dealing with structural RNAs are developed to address some of the practical …
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Police Organizational Performance In The State Of Florida:confirmatory Analysis Of The Relationship Of The Environment And Design Structure to Performance
… and organizational performance indicators. The modeling is deeply rooted in contingency theory, and the influence of isomorphism and institutional theory on the covariance structure model are investigated. One hundred and thirteen local police organizations from the State of Florida are included …
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Spatial verification and validation of datasets in fluid dynamics
… data comprises uncertainties in both numerical modelling and experimental measurement, which traditionally have been quantified using classical approaches in Verification and Validation. However, these techniques were designed with summary scalar values in mind and generally overlook or …
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Time series estimation in a spiked signal regime
… estimation that leverages the spiked signal model, an assumption that holds true for many high-dimensional datasets. The TSCC technique exploits this assumption to develop an estimator that is resilient to noise and accurately fills in missing data. This thesis first addresses the specific …
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Marriage enrichment: a critical assessment of the couples communication program model
… particular, the Couples Communication Program Model) in producing change in the marital relationship within the framework of a number of perceived short-comings in the marital enrichment research literature. This research examined the experiential component of marital enrichment programs in an …