Advances in Shrinkage and Penalized Estimation Strategies

Honoring the Contributions of Professor A. K. Md. Ehsanes Saleh

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Springer


Paru le : 2026-02-17



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Description

This book is a tribute to Professor A. K. Md. Ehsanes Saleh, a distinguished figure in the field of statistics known for his pioneering work, including the development of the "Preliminary Test Approach to Shrinkage Estimation". Although Professor Saleh passed away in September 2023, his legacy will live on through this special volume that explores penalized approaches for statistical analysis and recent developments in shrinkage methods. Covering regression modeling, robust estimation, machine learning, and high-dimensional data analytics, this volume bridges theoretical advancements with practical applications of these methodologies.
In addition to introducing novel research and viewpoints, the book seeks to encourage dialogue among experienced practitioners in the field. This resource is specifically designed for researchers, statisticians, or data science professionals seeking ways to improve their comprehension and application of these methods.
Pages
657 pages
Collection
n.c
Parution
2026-02-17
Marque
Springer
EAN papier
9783031940491
EAN PDF
9783031940507

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
65
Taille du fichier
25149 Ko
Prix
220,49 €
EAN EPUB
9783031940507

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
65
Taille du fichier
47800 Ko
Prix
220,49 €

Mohammad Arashi is a Full Professor at Ferdowsi University of Mashhad, Iran and Extraordinary Professor and C2 rate researcher at University of Pretoria, South Africa. He has won several prestigious (inter)national awards and has published over 165 articles in accredited journals and co-authored 5 books. His research interest include Shrinkage and Penalized Estimation, High-Dimensional Analysis, Nonparametric Statistics, and Distribution Theory. He is an International Statistical Institute elected member.

Mina Norouzirad is a researcher in Statistics at the Center for Mathematics and Applications (NovaMath), holding a Ph.D. from Shahrood University of Technology, Iran. Previously, she served as a Postdoctoral Fellow at NovaMath, Universidade NOVA de Lisboa, Portugal. Dr. Norouzirad has authored several peer-reviewed publications and co-authored 1 book. Her expertise centers on innovative methodologies for statistical modeling, specializing in Shrinkage, Robust Regression, High-dimensional Analysis, and Machine Learning.

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