1.0BIG-S2https://www.med.unc.edu/bigs2Tengfei Lihttps://www.med.unc.edu/bigs2/author/tengfei/BCor-SIS: Ball Correlation Sure Independence Screening - BIG-S2rich600338<blockquote class="wp-embedded-content" data-secret="15dR0UK8zU"><a href="https://www.med.unc.edu/bigs2/sbi-sis/">BCor-SIS: Ball Correlation Sure Independence Screening</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.med.unc.edu/bigs2/sbi-sis/embed/#?secret=15dR0UK8zU" width="600" height="338" title="“BCor-SIS: Ball Correlation Sure Independence Screening” — BIG-S2" data-secret="15dR0UK8zU" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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Extracting important features from ultra-high dimensional data is one of the primary tasks in statistical learning, information theory, precision medicine and biological discovery. Many of the sure independent screening methods developed to meet these needs are suitable for special models that follow certain assumptions. With the availability of more data types and possible models, a … Read more