Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)
暫譯: 複雜數據建模與統計計算方法的進展(統計學貢獻)

  • 出版商: Springer
  • 出版日期: 2014-11-18
  • 售價: $2,320
  • 貴賓價: 9.5$2,204
  • 語言: 英文
  • 頁數: 209
  • 裝訂: Hardcover
  • ISBN: 3319111485
  • ISBN-13: 9783319111483
  • 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

The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.

商品描述(中文翻譯)

本書針對在複雜及高維數據統計分析前沿工作的統計學家,提供各種統計模型、計算密集型方法及應用:從高維數據分析中進行網絡推斷;針對複雜數據的自助法(bootstrapping)新發展;用於衡量聲譽風險縮減的迴歸分析;針對人類基因組動態研究的統計方法;在非歐幾里得環境及形狀數據中的推斷;用於可靠性及複雜數據分析的貝葉斯方法;在臨床及流行病學研究中使用行政數據的 методологические проблемы;具有差異正則化的迴歸模型;通過手機數據探索進行流動性分析的地理統計方法。本卷是2013年在米蘭理工大學舉辦的會議「S.Co.2013:複雜數據建模及計算密集型估計與預測方法」中所呈現貢獻的精心選擇結果。所有在此發表的論文均經過嚴格的同行評審。