Stein's method in high dimensional classification and applications

In the context of classification, it is a common phenomenon that high-dimensional data such asmicro-array data consist of only a few informative components. If one uses standard statistical modeling and estimation procedures with entire information, it tends to overfit the data due to noise information. Therefore, some regularization conditions are required… CONTINUE READING