Rank-Based Methods for Shrinkage and Selection With Application to Machine Learning

Abstract

Robust statistics is an important field in contemporary mathematics and applied statistical methods. Rank-Based Methods for Shrinkage and Selection: With Application to Machine Learning describes techniques to produce higher quality data analysis in shrinkage and subset selection to obtain parsimonious models with outlier-free prediction. This book is intended for statisticians, economists, biostatisticians, data scientists and graduate students.

Mina Norouzirad

Researcher

A dedicated researcher and educator in the field of statistics