This book covers the methodology, applications, and software used in high-dimensional regression modeling. Data collected in many fields is high-dimensional in the sense that many characteristics, or features, are recorded for each observation. The collection of this kind of data is a relatively recent phenomenon, and it poses many challenges that traditional statistical methods have proven incapable of addressing. During the past decade, penalized regression models have become a widespread and important tool for analyzing these kinds of data sets.
| ISBN: | 9781482249972 |
| Publication date: | 22nd March 2024 |
| Author: | Patrick Breheny, Jian Huang |
| Publisher: | Chapman & Hall/CRC an imprint of CRC Press |
| Format: | Hardback |
| Pagination: | 450 pages |
| Series: | Chapman & Hall/CRC Texts in Statistical Science |
| Genres: |
Probability and statistics Automatic control engineering |
This book covers the methodology, applications, and software used in high-dimensional regression modeling. Data collected in many fields is high-dimensional in the sense that many characteristics, or features, are recorded for each observation.
High-Dimensional Regression Modeling features in the following genres: Probability and statistics, Automatic control engineering
Hardback. Not Available.
High-Dimensional Regression Modeling was written by Patrick Breheny, Jian Huang and published by Chapman & Hall/CRC an imprint of CRC Press
High-Dimensional Regression Modeling has 450 pages
Yes it is part of Chapman & Hall/CRC Texts in Statistical Science series