Browsing Faculty of Arts and Sciences by Keyword "high dimensional data"
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Inference and Prediction for High Dimensional Data via Penalized Regression and Kernel Machine Methods
(2012-08-06)Analysis of high dimensional data often seeks to identify a subset of important features and assess their effects on the outcome. Furthermore, the ultimate goal is often to build a prediction model with these features that ... -
Kernel Machine Methods for Risk Prediction with High Dimensional Data
(2012-10-22)Understanding the relationship between genomic markers and complex disease could have a profound impact on medicine, but the large number of potential markers can make it hard to differentiate true biological signal from ...