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 20 of 21 for “"Statistical dependence"”.
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Statistical dependence estimation for object interaction and matching
This dissertation shows how statistical dependence estimation underlies two key problems in visual surveillance and wide-area tracking. The first problem is to detect and describe interactions between moving objects. The goal is to measure the influence objects exert on one another. The second …
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An investigation into the association between accounting variables and stock market returns: the Mexican case
… if there is empirical evidence to show that a statistical dependence exists between accounting variables and stock market returns in a Mexican context. Security price research refers to such statistical dependence as "information content." In order to satisfy the above objective, three …
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Development and application of new system reliability analysis methods for complex infrastructure systems
… or the component events have significant statistical dependence due to common source effects. To overcome these challenges, this study develops two system reliability analysis methods, termed the Matrix-based System Reliability (MSR) Method and the Sequential Compounding Method (SCM), and …
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Observations of turbulence, internal waves and background flows : an inquiry into the relationships between scales of motion
… which forms the basis for the analysis is statistically stationary with respect to the nonlinear interactions. Dynamical models (McComas and Muller, 1981; Henyey et al., 1986) indicate that the Garrett and Munk (GM; Munk, 1981) spectrum is stationary. Observations from the far field of a …
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The use of joint probability analysis to predict flood frequency in estuaries and tidal rivers
… traditionally involves an assumption of independence between these primary hydrological variables, which can lead to the underestimation of the level of risk where river flow and tidal surge are often linked to the same low pressure weather system. This research develops a new methodology …
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An Information-Theoretic Framework for Consistency Maintenance in Distributed Interactive Applications
… In presenting the information model, the statistical dependence in the entity state, which makes using extrapolation models to predict future user behavior possible, is evaluated. The efficiency of a PCM to exploit such predictability to reduce the amount of network resources required to …
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Accounting for parameter uncertainty and temporal variability in coupled groundwater-surface water models using component and systems reliability analysis
… risk. It naturally accounts for any type of statistical dependence. By means of hypothetical examples, the fundamental aspects of the proposed scheme are introduced. They also open an afresh avenue to address efficiently key issues for managers who frequently deal with risk-informed …
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Cumulative Distribution Networks: Inference, Estimation and Applications of Graphical Models for Cumulative Distribution Functions
… the model. We will show that the conditional independence properties in a CDN are distinct from the conditional independence properties of directed, undirected and factor graph models, but include the conditional independence properties of bidirected graphical models. As a result, CDNs are a …
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Leukocyte Response to Elastin-Like Polypeptide Coatings
… ± 3.7 %, ELP4 = 22.0 ± 3.2 %) was increased. The statistical dependence of TF expression and platelet-monocyte aggregates was tested; however, no correlation was found. Overall, platelet-leukocyte aggregate formation was reduced and there were conflicting results with regards to the reduction of …
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Economic variables and their relationship to the returns of listed and unlisted commercial properties in South Africa
… prior studies. Regression analysis considers the statistical dependence of the dependent variable on one or more explanatory variables. VAR analysis permits inferences to be drawn about how a particular variable helps to explain property returns and to see how a shock from the same variable …
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System reliability analysis of structures subjected to fatigue induced sequential failures using evolutionary algorithms
… reliability method that can account for the statistical dependence among the component events as well as among the identified failure modes. Part of this work presents this decoupled approach in detail and demonstrates its applicability to complex bridge structural systems that are subjected …
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Quantifying Neuromelanin Content Across Varying Magnetic Field Strengths: A Comparative Analysis
… Spearman’s rank order correlations assessed statistical dependence between the ranking of participant CNR values at 3T and 7T. We found that CNR values at 3T predicted those at 7T when standard deviation (as opposed to the mean) of the background region was used for defining noise. In …
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Optimal path planning for detection and classification of underwater targets using sonar
… and allows for the consideration of statistical dependence between the occupancy state of each grid cell in the map. This is in direct contrast to the classical formulations of occupancy grid frameworks, in which the occupancy state of each grid cell is considered statistically …
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Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics
… neurons while edges correspond to some notion of statistical dependence. Such net- work models are increasingly used in clinical neuroimaging where scientists seek to find robust network biomarkers to detect specific brain based disorders, explain underlying disease mechanisms and guide …
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Privacy-preserving seedbased data synthesis
… outputs. But it simultaneously introduces statistical dependence between synthetic records and their seeds, which may compromise privacy. As a countermeasure, we introduce a new class of techniques that can achieve strong privacy notions in this setting: privacy tests. Privacy tests are …
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Hypothesis Testing Using Spatially Dependent Heavy-Tailed Multisensor Data
… sensors. We characterize the inter-sensor dependence using copula theory. Copulas are parametric functions which bind univariate p.d.f. s, to generate a valid joint p.d.f. </p> <p>We model the heavy-tailed data using the class of alpha-stable distributions. We consider a two-sided test in …
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Copula-based Multimodal Data Fusion for Inference with Dependent Observations
… by taking into account nonlinear cross-modal dependence. We apply copula based methodology to characterize this dependence.</p> <p>In distributed detection, the goal often is to minimize the probability of detection error at the fusion center (FC) based on a fixed number of observations …
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System reliability analysis methods for rapid multi-scale network risk assessment and decision making
… of network components, complex network topology, statistical dependence between component failures, and network interdependency. Thus, network analysis is often performed by repeating computational simulations of network performance for random samples of hazard intensity measures and corresponding …
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Modeling and Analysis of Non-Linear Dependencies using Copulas, with Applications to Machine Learning
… are stochastic models that capture the full dependence structure between random variables and allow flexible modeling of multivariate joint distributions. Elidan was the first to recognize this disconnect, and introduced copula based models to the ML community that demonstrated magnitudes of …
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Efficient Algorithms for Mining Large Spatio-Temporal Data
… this data exhibits significant<br />space-time statistical dependence, and the assumption of i.i.d. is<br />no longer valid. The exact modeling of space-time dependence will<br />render the exponential growth of model complexity as the data size<br />increases. This research focuses on the …
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