Collaborative Research: Novel Bayesian Thresholding and Shrinkage Methods in Multiscale Domains with Applications

Modern science and engineering increasingly rely on extracting meaningful information from large and noisy datasets, such as those arising in medical imaging, environmental monitoring, telecommunications, and numerous other disciplines. This project develops advanced statistical methods that improve signal recovery and noise reduction through…