Global ETD Search
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Showing 1 to 4 of 4 for “"Empirical Bayes method"”.
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Empirical Bayes methods in time series analysis
… vary randomly from experiment to experiment, the Empirical Bayes method often leads to estimators which have smaller mean squared errors than the classical estimators. Suppose there is an unobservable random variable θ, where θ ~ G(θ), usually called a prior distribution. The Bayes estimator of θ …
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Statistical learning methods for mining marketing and biological data
… advantage of the data flood, new computational methods are in demand to process, analyze and understand these datasets. This dissertation focuses on the development of statistical learning methods for online advertising and bioinformatics to model real world data with temporal or spatial …
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Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii
… circuit into a cell. We use an existing method to infer regulatory networks under multiple conditions: the Joint Graphical Lasso (JGL), a shrinkage based Gaussian graphical model. We apply this method to two data sets: one, a publicly available set of microarray experiments perturbing the …
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Network Roadway Surface Friction and Its Usage to Improve Safety and Project Performance along West Virginia Highways
… data through a case study to insure proper methodology of roadway surface friction management, to develop sample safety performance functions and best crash estimates, and to apply this decision-making data to provide assistance and guidance in the selection of projects in the West Virginia …