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 10 of 10 for “"Dependent observations"”.
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Common Information and Decentralized Inference with Dependent Observations
… information was originally defined for a pair of dependent discrete random variables. This thesis generalizes its definition in two directions: the number of dependent variables can be arbitrary, so are the alphabets of those random variables. New properties are determined for the generalized …
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Invariance Properties of Statistical Tests for Dependent Observations
<p>In this dissertation we assume that the observations are from normal populations but are correlated and study the problem of characterizing the class of covariance structures such that the distributions of the popular test statistics remain invariant, that is, they remain the same except for a …
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Estimation, Prediction and Counterfactual Inference with Dependent Observations
… the assumption that this data is generated independently from some distribution. However, this assumption is often violated when data exhibit complex dependencies across a spatial or temporal domain, or due to social interactions. In this thesis, our goal is to design and analyze methods that …
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Copula-based Multimodal Data Fusion for Inference with Dependent Observations
… fusion center (FC) based on a fixed number of observations collected by the sensors. We design optimal detection algorithms at the FC using a regular vine copula based fusion rule. Regular vine copula is an extremely flexible and powerful graphical model used to characterize complex dependence …
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Heterogeneous Sensor Signal Processing for Inference with Nonlinear Dependence
… <p>In centralized detection, where sensor observations are available at the fusion center (FC), we study copula-based fusion. We design detection algorithms based on sample-wise copula selection and mixture of copulas model in different scenarios of the true dependence. The proposed …
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On Distributed and Acoustic Sensing for Situational Awareness
… we study decentralized inference problems with dependent observations in wireless sensor networks. Two separate problems are addressed in this part: one pertaining to collaborative spectrum sensing while the other on distributed parameter estimation with correlated additive Gaussian noise. In …
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Integrated traffic analysis and visualization for future road events
… traffic and accident data requires modeling the dependent observations on multiple levels. Therefore, a system that utilizes hierarchical LMMs and GBM models are proposed which adaptively analyzes and predicts the traffic pattern based on hypothetical inputs. We developed a user-friendly …
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ROBUST KULLBACK-LEIBLER DIVERGENCE AND ITS APPLICATIONS IN UNIVERSAL HYPOTHESIS TESTING AND DEVIATION DETECTION
… in universal hypothesis testing. With continuous observations, however, the KL divergence is only lower semi-continuous; difficulties arise when tackling universal hypothesis testing with continuous observations due to the lack of continuity in KL divergence.</p> <p>This dissertation proposes a …
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Polymer drug dispersions: understanding structure and dynamics
… • Di�erences in local mobility of drug/polymer dependent on model system and drug loading. • Miscibility detection down to 2 nm, including important temperature dependent observations. VT relaxation curves could become important visual tools for quanti�cation of drug loading and prediction of …
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Application of Numerical Methods to Study Arrangement and Fracture of Lithium-Ion Microstructure
… find that the proposed model reproduces the rate-dependent observations of analytical approaches, cohesive element simulations, and experimental studies.</p><p>Lastly, the Thick Level-Set model is implemented in three dimensions to describe the dynamic failure of brittle media, such as the active …