Rank Based Methods for Shrinkage and Selection is popular PDF and ePub book, written by A. K. Md. Ehsanes Saleh in 2022-04-12, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Rank Based Methods for Shrinkage and Selection can be Read Online from any device for your convenience.
Rank Based Methods for Shrinkage and Selection Book PDF Summary
Rank-Based Methods for Shrinkage and Selection A practical and hands-on guide to the theory and methodology of statistical estimation based on rank 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. Rank-Based Methods for Shrinkage and Selection elaborates on rank-based theory and application in machine learning to robustify the least squares methodology. It also includes: Development of rank theory and application of shrinkage and selection Methodology for robust data science using penalized rank estimators Theory and methods of penalized rank dispersion for ridge, LASSO and Enet Topics include Liu regression, high-dimension, and AR(p) Novel rank-based logistic regression and neural networks Problem sets include R code to demonstrate its use in machine learning
Detail Book of Rank Based Methods for Shrinkage and Selection PDF
- Author : A. K. Md. Ehsanes Saleh
- Release : 12 April 2022
- Publisher : John Wiley & Sons
- ISBN : 9781119625421
- Genre : Mathematics
- Total Page : 484 pages
- Language : English
- PDF File Size : 10,9 Mb
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