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 38 for “"Joint estimation"”.
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Joint estimation of water and fat images from magnetic resonance signals
… The research in this thesis has developed joint estimation methods to address the ill-posedness of the problem by simultaneously estimating the complete fat-water images and field inhomogeneity map. The joint estimation formulation developed in this work is able to overcome the …
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Methods and Theory for Joint Estimation of Incidental and Structural Parameters in Latent Class Models
Marginal maximum likelihood estimation has become the standard for parameter estimation in latent variable models. However, there are instances when alternative estimators that jointly estimate incidental parameters and structural parameters might be easier to implement. A drawback to joint …
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Explaining Racial Discrepancies in Verbal Memory Assessment with Joint Estimation of Life Course Social Inequalities and Measurement Bias
Decades of research in cognitive test performance have demonstrated that racial group differences appear on a wide variety of tests and samples. The development of new tests, statistical adjustments, and incorporation of additional sociocultural information have contributed to varying degrees of …
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An Economic Comparison of High Tunnel and Open-Field Strawberry Production in Southeastern Virginia and A Joint Estimation of Acreage Planted to U.S. Major Crops
… input costs, and fuel ethanol production on the joint acreages planted to eight U.S major crops (barley, corn, cotton, peanuts, rice, sorghum, soybeans, and wheat). We found a positive and statistically significant marginal effect of the expected peanuts' revenue on its acreage share. The …
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Contemporaneous Carma Modelling With Applications
… series data. It is shown in the thesis that the joint estimation is asymptotically efficient. For the case of the CAR(1) model, asymptotic theory and small sample simulation show that the gain in efficiency over univariate estimation can be in excess of 50%. A computationally efficient procedure …
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Joint Gaussian Graphical Model for multi-class and multi-level data
… For related but different classes, jointly estimating networks by taking advantage of common structure across classes can help us better estimate conditional dependencies among variables. Furthermore, there may exist multilevel structure among variables; some variables are considered …
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Bayesian approaches to problems in diagnostic testing and underreported count data.
… topics. The first chapter describes Bayesian joint estimation for predictive values of continuous diagnostic tests. We find that allowing for uncertainty in disease prevalence is essential for producing unbiased estimation regions. In the second chapter, we assess the effect of state-level …
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Robustness of Modified FBMC-SS Against Partial-Band Noise-Like Interference
… the effects of this interference on joint frequency, time, and phase estimation are considered. The Cramér- Rao variance bounds (CRVBs) are derived for joint estimation of these values for arbitrary locations of pilots that are and are not under interference. These CRVBs are …
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The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data
… finite normal mixtures (GLMFM), as well as the estimation procedures for the GLMFM model, which are widely applicable to the hierarchical dataset with small number of individual units and multi-modal distributions at the lowest level of clustering. The modeling task is two-fold: (a). to model …
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Learning the dynamics of deformable objects and recursive boundary estimation using curve evolution techniques
… We propose two primary algorithms, one which jointly estimates the underlying field and boundary in a static image and another which performs image segmentation across a temporal sequence. Some motivating applications come from the earth sciences and medical imaging. In particular, we examine …
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Ensemble Modelling of in situ Feature Variables for Printed Electronics Manufacturing with in situ Process Control Potential
… as well as predictors for product quality in a joint estimation problem, the proposed models have a hierarchical variable relationship to enable in situ process control for variation reduction and defect mitigation. A real case study is investigated to demonstrate the advantages of the proposed …
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The emergency transcriber: a situation-aware recording system for noisy acoustic environments
… contribution in this exploitation lies in the joint estimation of the current state of the workflow together with the correction of sensed data, given only the noisy (speech) measurements and an overall workflow description. Evaluation shows that the tool provides a significant accuracy …
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Joint Positioning and Multipath Radio Channel Estimation and Prediction
This thesis investigates the topic of joint positioning and radio channel estimation and prediction. Both positioning and radio channel estimation have a long history of research with many publications but the combination of the two has so far at large been left unexplored. The reason for studying …
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Statistical Learning with Discrete Structures: Statistical and Computational Perspectives
… sciences, we propose a new modeling framework to jointly learn sparse linear estimators for different tasks by sharing support information. Our theoretical results show that our joint estimation framework can lead to better statistical properties compared to independently fitting models for each …
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Coal resource characterization using the theory of coregionalized variables
… a block or node simultaneously. Traditionally, estimation has been done for each variable independent of the other variables. The methods range from the well known polygonal and distance weighting methods to the geostatistical method of kriging. None of these methods takes the correlations …
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Convex Relaxations for Particle-Gradient Flow with Applications in Super-Resolution Single-Molecule Localization Microscopy
… We further extend RGF to the problem of joint estimation of molecular position and orientation. By lifting the optimization from first-order to second-order orientational moments, we derive an efficient version of RGF, which exhibits robustness to instrumental mismatches. Finally, we …
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Signalakquisition in DS-Spreizspektrum-Systemen und ihre Anwendung auf den 3GPP-FDD-Mobilfunkstandard
… likelihood (ML) criterion, an estimator for the joint estimation of receive timing and frequency offset can be derived which determines the maximum of the Likelihood function over the whole parameter uncertainty region. Due to its high complexity the ML synchronizer is difficult to implement for …
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Clinical Applications of Neuromonitoring Following Acute Brain Injury
… care patients is clinically feasible; the joint estimation of autoregulation, dysautonomia, non-invasive ICP, and critical closing pressure is possible. The culmination of these projects should have an impact on current monitoring practices in ABI patients, emphasizing the continued …
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Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity
This thesis explores the joint estimation of transmission and severity of infectious diseases, focussing on the specific case of influenza. Transmission governs the speed and magnitude of viral spread in a population, while severity determines morbidity and mortality and the resulting effect on …
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