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 4 of 4 for “"feature screening"”.
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Robust Feature Screening Procedures for Mixed Type of Data
… Fan and Lv (2008) proposed a variable screening procedure via correlation learning to reduce dimensionality in sparse ultra-high dimensional models. Since then many authors further developed the procedure and applied to various statistical models. However, they all focused on single …
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Reading Your Own Mind: Dynamic Visualization of Real-Time Neural Signals
… the potential to use feedback to build on simple features and create complex control features that are robust over time. This dissertation presents work that addresses these opportunities for the specific case of Electrocorticography: ECoG) recordings from clinical epilepsy patients. First, queued …
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Contributions to Data Reduction and Statistical Model of Data with Complex Structures
… dimensions in the form of continuous or discrete features. There is an emerging need for data reduction, efficient modeling, and model inference. For example, data can contain millions of observations with thousands of features. Traditional methods, such as linear regression or LASSO regression, …
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Statistical methods for ChIP-seq and microbiome studies using next-generation DNA sequencing data
… to estimate the causal effects of microbiome features on interesting outcomes in presence of confounding variables.</p> <p>ChIP-seq experiments aim to detect DNA-protein binding sites and require biological replication to draw inferential conclusions. However, there is no current consensus on …