The progress in science and engineering increasingly depends on our ability to analyze massive amounts of observed and simulated data. The vast majority of this data, coming from high-performance high ...
High-dimensional datasets arise across disciplines from genomics and neuroimaging to finance and social science. As the number of variables grows, statistical inference and predictive modelling become ...
(Nanowerk News) National University of Singapore (NUS) statisticians have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smooth structures. This ...
This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
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