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

Md Ehsanes Saleh, Mohammad Arashi, Resve A. Saleh, Mina Norouzirad

Research output: Book/ReportBookpeer-review

7 Citations (Scopus)

Abstract

A practical and hands-on guide to the theory and methodology of statistical estimation based on rankRobust 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.Rank-Based Methods for Shrinkage and Selection elaborates on rank-based theory ad application in machine learning to robustify the least squares methodology.
Original languageEnglish
PublisherWiley
Number of pages448
ISBN (Electronic)978-111962543-8
ISBN (Print)978-111962539-1
DOIs
Publication statusPublished - 1 Jan 2022

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