Mixture models parametric, semiparametric, and new directions / Weixin Yao and Sijia Xiang.
| Author/creator | Yao, Weixin |
| Other author | Xiang, Sijia. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton ; London : CRC Press, Taylor & Francis Group, 2024. |
| Description | 1 online resource ; illustrations |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Series | Chapman & Hall/CRC monographs on statistics and applied probability |
| Abstract | "Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from finance to genomics. Mixture Models: Parametric, Semiparametric, and New Directions provides an up-to-date introduction to these models, their recent developments, and their implementation using R. It fills a gap in the literature by covering not only the basics of finite mixture models, but also recent developments such as semiparametric extensions, robust modeling, label switching, and high-dimensional modeling"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Yao, Weixin. Mixture models First edition. Boca Raton ; London : CRC Press, Taylor & Francis Group, 2024 9780367481827 |
| Genre/form | Electronic books. |
| LCCN | 2023047319 |
| ISBN | 9781040009901 (epub) |
| ISBN | 9781003038511 (ebook) |
| ISBN | (hardback) |
| ISBN | (paperback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |