Multivariate Statistics: Classical Foundations and Modernmachine Learning
暫譯: 多變量統計：經典基礎與現代機器學習
Ishwaran, Hemant
- 出版商: CRC
- 出版日期: 2025-03-30
- 售價: $5,550
- 貴賓價: 9.5 折 $5,273
- 語言: 英文
- 頁數: 466
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032758791
- ISBN-13: 9781032758794
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相關分類:
Machine Learning、機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forests, variable importance, and causal inference.
商品描述(中文翻譯)
本書從傳統與現代的角度探討多變量統計。內容涵蓋多變量常態性、MANOVA（多變量方差分析）和典型相關分析等核心主題，以及現代概念如梯度提升、隨機森林、變數重要性和因果推斷。
作者簡介
Dr. Hemant Ishwaran's work focuses on advancing machine learning techniques for applications in public health, medicine, and informatics. His contributions include the development of open-source tools, such as R packages for his pioneering methods, including the widely-used random survival forests--a significant extension of the random forest algorithm in machine learning. His collaborations with healthcare experts have resulted in precision models for cardiovascular disease (CVD), heart transplantation, cancer staging, and resistance to gene cancer therapy.
作者簡介(中文翻譯)
Hemant Ishwaran 博士的研究專注於推進機器學習技術在公共健康、醫學和資訊學的應用。他的貢獻包括開發開源工具，例如針對他開創性方法的 R 套件，其中包括廣泛使用的隨機生存森林（random survival forests）——這是機器學習中隨機森林演算法的一個重要擴展。他與醫療專家的合作產生了針對心血管疾病（CVD）、心臟移植、癌症分期以及對基因癌症治療的抵抗力的精準模型。
