Nonparametric Bayesian Inference in Biostatistics (Frontiers in Probability and the Statistical Sciences)
暫譯: 生物統計中的非參數貝葉斯推斷(機率與統計科學前沿)

  • 出版商: Springer
  • 出版日期: 2015-08-07
  • 售價: $4,200
  • 貴賓價: 9.5$3,990
  • 語言: 英文
  • 頁數: 448
  • 裝訂: Hardcover
  • ISBN: 3319195174
  • ISBN-13: 9783319195179
  • 相關分類: 機率統計學 Probability-and-statistics
  • 海外代購書籍(需單獨結帳)

商品描述

As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches. As this book's expert contributors show, BNP approaches can be the answer. Survival Analysis, in particular survival regression, has traditionally used BNP, but BNP's potential is now very broad. This applies to important tasks like arrangement of patients into clinically meaningful subpopulations and segmenting the genome into functionally distinct regions. This book is designed to both review and introduce application areas for BNP. While existing books provide theoretical foundations, this book connects theory to practice through engaging examples and research questions. Chapters cover: clinical trials, spatial inference, proteomics, genomics, clustering, survival analysis and ROC curve.

 

商品描述(中文翻譯)

本書中的各章節展示了非參數貝葉斯方法(BNP)在臨床科學和推斷中的重要用途,例如基因組學中的未知分區。非參數貝葉斯方法在生物統計推斷中扮演著日益擴大的角色,從蛋白質組學到臨床試驗的應用都能見到其身影。許多研究問題涉及大量數據,並需要靈活且複雜的概率模型,超越傳統的參數方法。正如本書的專家貢獻者所展示的,BNP 方法可以是解決方案。生存分析,特別是生存回歸,傳統上使用 BNP,但 BNP 的潛力現在非常廣泛。這適用於重要任務,例如將患者安排到臨床上有意義的亞群體,以及將基因組劃分為功能上不同的區域。本書旨在回顧並介紹 BNP 的應用領域。雖然現有書籍提供理論基礎,但本書通過引人入勝的範例和研究問題將理論與實踐相連接。各章涵蓋:臨床試驗、空間推斷、蛋白質組學、基因組學、聚類、生存分析和 ROC 曲線。

最後瀏覽商品 (20)