The rapid emergence of high-throughput genomic profiling has led to datasets encompassing tens of thousands to millions of measurements per sample. In such settings, classical statistical techniques ...

Bayesian approaches to variable selection and model comparison construct a coherent probabilistic framework that integrates prior beliefs with observed data. In variable selection, each candidate ...

A new variable selection method for use in chemometrics applications has recently been proposed by a team of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of ...