Robust Local Information Transfer for High-Dimensional Data Analysis with Conditional Spike-and-Slab Prior

The authors propose a novel Bayesian transfer learning method named "CONCERT" that allows robust local information transfer for high-dimensional data analysis. CONCERT introduces a conditional spike-and-slab prior to characterize the local similarities between the source and target data, enabling adaptive and simultaneous variable selection and information transfer.