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- Ruim aanbod met 7 miljoen producten
Rank-Based Methods for Shrinkage and Selection
With Application to Machine Learning
A K MD Ehsanes Saleh, Mohammad Arashi, Resve a Saleh, Mina Norouzirad
Hardcover | Engels
€ 189,95
+ 379 punten
Omschrijving
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
Specificaties
Betrokkenen
- Auteur(s):
- Uitgeverij:
Inhoud
- Aantal bladzijden:
- 480
- Taal:
- Engels
Eigenschappen
- Productcode (EAN):
- 9781119625391
- Verschijningsdatum:
- 12/04/2022
- Uitvoering:
- Hardcover
- Formaat:
- Genaaid
- Afmetingen:
- 152 mm x 229 mm
- Gewicht:
- 807 g
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