Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis
暫譯: 統計決策理論導論：效用理論與因果分析
Bacci, Silvia, Chiandotto, Bruno
- 出版商: CRC
- 出版日期: 2019-07-08
- 售價: $5,230
- 貴賓價: 9.5 折 $4,969
- 語言: 英文
- 頁數: 301
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138083569
- ISBN-13: 9781138083561
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商品描述
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory.
Features
- Covers approaches for making decisions under certainty, risk, and uncertainty
- Illustrates expected utility theory and its extensions
- Describes approaches to elicit the utility function
- Reviews classical and Bayesian approaches to statistical inference based on decision theory
- Discusses the role of causal analysis in statistical decision theory
商品描述(中文翻譯)
《統計決策理論導論：效用理論與因果分析》提供了從統計角度接觸決策理論的理論背景。它涵蓋了傳統方法，包括價值理論和期望效用理論，以及最近的發展，特別是在因果推斷方面。本書特別設計以吸引希望基於決策理論獲得統計科學知識的學生和研究人員。
特點
- 涵蓋在確定性、風險和不確定性下做出決策的方法
- 說明期望效用理論及其擴展
- 描述引出效用函數的方法
- 回顧基於決策理論的經典與貝葉斯統計推斷方法
- 討論因果分析在統計決策理論中的角色
作者簡介
Silvia Bacci is Assistant Professor of Statistics at the Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence (Italy). Her research interests are addressed to statistical decision theory, with focus on utility theory, and latent variable models, with focus on item response theory models, latent class models, and models for longitudinal and multilevel data.
Bruno Chiandotto is adjunct Full Professor of Statistics at the Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence (Italy). He is mainly interested in the definition and estimation of linear and nonlinear statistical models, multivariate data analysis, customer satisfaction, causal analysis, statistical decision theory and utility theory. A large part of his research activity has been carried out under projects funded by international, national and local institutions.
作者簡介(中文翻譯)
Silvia Bacci 是義大利佛羅倫斯大學「G. Parenti」統計、計算機科學與應用系的助理教授。她的研究興趣集中在統計決策理論，特別是效用理論，以及潛在變數模型，重點在於項目反應理論模型、潛在類別模型，以及縱向和多層次數據模型。
Bruno Chiandotto 是義大利佛羅倫斯大學「G. Parenti」統計、計算機科學與應用系的兼任全職教授。他主要關注線性和非線性統計模型的定義與估計、多變量數據分析、顧客滿意度、因果分析、統計決策理論和效用理論。他的研究活動大部分是在國際、國家和地方機構資助的項目下進行的。
