Bayesian Inverse Problems: Fundamentals and Engineering Applications
暫譯: 貝葉斯反問題：基礎與工程應用
Chiachio-Ruano, Juan, Chiachio-Ruano, Manuel, Sankararaman, Shankar
- 出版商: CRC
- 出版日期: 2021-11-11
- 售價: $6,820
- 貴賓價: 9.5 折 $6,479
- 語言: 英文
- 頁數: 232
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138035858
- ISBN-13: 9781138035850
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相關分類:
機率統計學 Probability-and-statistics
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相關主題
商品描述
This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them. Through this book, the reader will learn how this class of methods can be useful to rigorously address a range of engineering problems where empirical data and fundamental knowledge come into play. The book is written for a non-expert audience and it is contributed to by many of the most renowned academic experts in this field.
商品描述(中文翻譯)
本書專注於一類特殊的工程問題，稱為貝葉斯反問題。這些問題不僅包括工程問題的概率貝葉斯表述，還包括解決這些問題所需的相關隨機模擬方法。通過本書，讀者將學習這類方法如何有效地解決一系列涉及實證數據和基本知識的工程問題。本書是為非專家讀者撰寫的，並由該領域許多著名的學術專家共同貢獻。
作者簡介
Juan Chiachío-Ruano is an Associate Professor of Structural Engineering at University of Granada (Spain), and a researcher at the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI). He has devoted his research career to the study and development of Bayesian methods in application to a wide range of Mechanical and Structural Engineering problems. Prior to joining University of Granada, he has developed a significant international research career working at top academic institutions in the UK and the USA.
Manuel Chiachío-Ruano holds a PhD in Structural Engineering (2014) by the University of Granada (Spain). Currently, he is Associate Professor and Head of the Intelligent Prognostics and Cyber-physical Structural Systems Laboratory (iPHMLab) at the University of Granada. He has developed a significant part of his research in collaboration with the California Institute of Technology (USA), the University of Nottingham (UK) and NASA Ames Research Center (USA), during his stays at these institutions.
Shankar Sankararaman received his PhD in Civil Engineering from Vanderbilt University, Nashville, TN, USA, in 2012. Soon after, he joined NASA Ames Research Center, where he developed Machine Learning algorithms and Bayesian methods for system health monitoring, prognostics, decision-making, and uncertainty management. Dr Sankararaman has co-authored a book on prognostics and published over 100 technical articles in international journals and conferences. Presently, Shankar is a scientist at Intuit AI, where he focuses on implementing cutting edge research in products and solutions for Intuit's customers.
作者簡介(中文翻譯)
胡安·基亞基奧-魯阿諾是西班牙格拉納達大學的結構工程副教授，並且是安達盧西亞數據科學與計算智能研究所（DaSCI）的研究員。他的研究生涯致力於貝葉斯方法的研究與開發，應用於各種機械和結構工程問題。在加入格拉納達大學之前，他在英國和美國的頂尖學術機構發展了顯著的國際研究生涯。
曼努埃爾·基亞基奧-魯阿諾於2014年獲得西班牙格拉納達大學的結構工程博士學位。目前，他是格拉納達大學的副教授及智能預測與網絡物理結構系統實驗室（iPHMLab）的負責人。他在加州理工學院（美國）、諾丁漢大學（英國）和NASA艾姆斯研究中心（美國）等機構的合作中，發展了他研究的重要部分。
尚卡·桑卡拉拉曼於2012年在美國田納西州納什維爾的范德堡大學獲得土木工程博士學位。不久之後，他加入了NASA艾姆斯研究中心，在那裡開發了用於系統健康監測、預測、決策和不確定性管理的機器學習算法和貝葉斯方法。桑卡拉拉曼博士共同撰寫了一本有關預測的書籍，並在國際期刊和會議上發表了超過100篇技術文章。目前，尚卡是Intuit AI的科學家，專注於將尖端研究實施於Intuit客戶的產品和解決方案中。
