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 28 for “"maximum likelihood approach"”.
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Graph Based Optimization For Scientific Computing
… to infer the ancestral gene order based on maximum likelihood approach and adequate graph median solver. The median solver is extremely time consuming under high rearrangement rate compared with maximum likelihood approach but it gives better accuracy. So our mixture method aims to increase …
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Maximum likelihood time-domain beamforming using simulated annealing
… signals coming from different directions, the maximum likelihood approach is used to estimate the source bearings and time series. Simulated annealing is used to implement the resulting time-domain beamformer. Broadband signals in spatially correlated noise are treated. Previous time-domain …
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Canonical Variate Analysis and Related Methods with Longitudinal Data
… is not changing in the group structure. Three approaches are taken: a maximum likelihood approach, a least squares approach, and a covariance structure analysis approach. All methods have in common that they hypothesize canonical variates which are stable over time. The maximum likelihood …
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GPS multi-receiver direct position estimation for aerial applications
… navigation solutions in the PVT domain with a maximum-likelihood approach, bypassing the intermediate range measurements. Whereas prior works have shown the enhanced measurement certainty of DPE under weak signals, MR-DPE provides further improvement by leveraging the information redundancy and …
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Introduction to fast Super-Paramagnetic Clustering
… compared to a modified implementation of a maximum likelihood approach to fast-Super-Paramagnetic Clustering (f-SPC). The methods are first applied standard toy test-case problems, and then to a dataset of 447 stocks traded on the New York Stock Exchange (NYSE) over 1249 days. The signal to …
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Optimization algorithms for inference and classification of genetic profiles from undersampled measurements
… variables. We show that, in this case, the maximum likelihood approach is senseless because the likelihood diverges. We propose a normalization of the likelihood function that guarantees convergence. Simulation results show that SMURC outperforms the regularized likelihood estimator with …
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The Doubly Inflated Poisson and Related Regression Models
… we have considered parameter estimation using maximum likelihood (ML) and method of moments techniques. Efficiencies show that the ML estimators perform far better than the moment estimators. An application to DIP models is illustrated using data on patients' length of stay in a hospital. …
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Algorithms for estimating visual motion parameters from ganglion cell responses
… least squares based and the fifth one employs a maximum likelihood approach. We present a sensitivity analysis on the four least squares algorithms. We also develop a novel method for reweighing these least squares algorithms so as to minimize a weighted sum of the variances of our estimates. The …
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Neutron Measurements and Reactor Antineutrino Search with the SNO+ Detector in the Water Phase
… of physics objectives. SNO+ has adopted a staged approach where the detector was first filled with ultra-pure water before substituting with liquid scintillator and the target isotope $^{130}$Te for neutrinoless double beta decay. During the SNO+ water phase, an $^{241}$Am$^{9}$Be source is …
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Remote sensing of land cover changes in the Jeffara Plain, North-West Libya
… the nature and extent of change. A supervised Maximum Likelihood approach (ML) was used to classify each image into land cover classes that were likely to have been directly affected by groundwater changes, with resulting accuracies between 670/0 and 76%, obtained. The change in the extent of …
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Deep Generative Models and Biological Applications
… to the infection rate. </p><p>Differing from the maximum likelihood approach of VAE, Generative Adversarial Networks (GAN) is trying to solve the generation problem from a game theoretical way. </p><p>From this viewpoint, we design a framework VAE+GAN, by placing a discriminator on top of …
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Algorithms and architectures for channel estimation in wireless CDMA communication systems
… technology, and range of services. An attractive approach for economical, spectrally efficient, and high quality digital cellular and personal communication services is the use of code division multiple access (CDMA) technology. The estimation of channel delays along with channel attenuation and …
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An examination of specification error in modern United States growth processes
… behavior have concentrated on a cross sectional approach. I believe, in addition, much can be learned about individual growth processes through a time series approach. This approach avoids many complicated issues in cross sectional analysis including changes in institutions within and between …
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Spatial Infectious Disease Transmission Models: Variable Screening Methods and Logistic Formulation.
… logistic individual-level model (CL-ILM). This approach significantly reduces the computational complexity associated with traditional spatiotemporal ILMs, making it compatible with standard software for logistic model fitting. The modelling process is divided into two stages. First, we use a …
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Multilevel Latent Markov Models for Nested Longitudinal Discrete Data
… two occasions. The random-effects modeling approach is utilized to account for the effects due to the nested structure. The parameters of the proposed model are estimated by maximum likelihood approach with modified EM procedures. Simulation studies are conducted to investigate the …
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Chemical communication in a declining North American anuran amphibian, the northern leopard frog (lithobates pipiens)
… analysis for each CR type identified using a Maximum Likelihood approach (Chapter 1). I incorporated amino acid CR sequences spanning aquatic, semiaquatic, and terrestrial vertebrate species, and the resulting trees indicate split divergence patterns across CR types. More specifically, …
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Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data
… variabilities are modeled as random effects. The maximum likelihood approach is used to estimate parameters based on the accelerated test data from laboratory. The developed model is then extended to allow for time-varying covariates and is used to predict outdoor degradation where the explanatory …
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Distributed Location Estimation of a Moving Target Characterized by a Spatial Poisson Field
… To find the distributed estimates, we adopt the Maximum Likelihood approach. This approach requires knowledge of the joint probability density function of the distributed measurements observed by the FC. Since the joint probability density of the data observed at the FC is nonlinear in unknown …
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Methodology for updating numerical predictions of excavation performance
… 2) error structures of field measurements (maximum likelihood approach); and 3) inverse analyses based on heuristic optimization methods (genetic algorithms). The proposed methodology is evaluated for a well-instrumented excavation project in South Boston (MBTA Courthouse Station, South …
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Coincidence detection in the cochlear nucleus : implications for the coding of pitch
… spatiotemporal pattern of AN discharges. Using a maximum likelihood approach, we found that certain unit types (primary-like-with-notch and some phase lockers) had responses consistent with cross-frequency CD cell. Some of these CN units provide input to neurons in a binaural circuit that process …
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