Post-shrinkage Strategies In Statistical And Machine Learning For High Dimensional Data

This book provides an overview of post-estimation and prediction strategies to be used in data science. It combines statistical learning and machine learning techniques to help control bias and improve estimation accuracy in high dimensional data analysis. It is a repository for developing improved estimation strategies in the fields of statistics and medical sciences, and provides a comprehensive overview of the various methods and techniques involved.