Handbook of Bayesian Variable Selection (貝葉斯變數選擇手冊)

《貝葉斯變數選擇手冊》提供了貝葉斯方法在變數選擇方面的理論、方法論和計算方面的全面回顧。它也為所有有興趣應用現有方法和/或追求方法論擴展的人士提供了寶貴的參考。

Mahlet Tadesse is Professor and Chair in the Department of Mathematics and Statistics at Georgetown University, USA. Her research over the past two decades has focused on Bayesian modeling for high-dimensional data with an emphasis on variable selection methods and mixture models. She also works on various interdisciplinary projects in genomics and public health. She is a recipient of the Myrto Lefkopoulou Distinguished Lectureship award, an elected member of the International Statistical Institute and an elected fellow of the American Statistical Association.

Marina Vannucci is Noah Harding Professor of Statistics at Rice University, USA. Her research over the past 25 years has focused on the development of methodologies for Bayesian variable selection in linear settings, mixture models and graphical models, and on related computational algorithms. She also has a solid history of scientific collaborations and is particularly interested in applications of Bayesian inference to genomics and neuroscience. She has received an NSF CAREER award and the Mitchell prize by ISBA for her research, and the Zellner Medal by ISBA for exceptional service over an extended period of time with long-lasting impact. She is an elected Member of ISI and RSS and an elected fellow of ASA, IMS, AAAS and ISBA.

Mahlet Tadesse 是美國喬治城大學數學與統計系的教授及系主任。她在過去二十年的研究專注於高維數據的貝葉斯建模，特別是變數選擇方法和混合模型。她還參與各種跨學科的基因組學和公共衛生項目。她是 Myrto Lefkopoulou 傑出講座獎的獲得者，並且是國際統計學會的當選會員以及美國統計協會的當選院士。

Marina Vannucci 是美國萊斯大學的 Noah Harding 統計學教授。她在過去 25 年的研究專注於線性環境中貝葉斯變數選擇方法的發展、混合模型和圖形模型，以及相關的計算算法。她在科學合作方面有著堅實的歷史，特別對貝葉斯推斷在基因組學和神經科學中的應用感興趣。她因其研究獲得了 NSF CAREER 獎，並因其卓越的服務和持久的影響力獲得 ISBA 的 Mitchell 獎和 Zellner 獎。她是 ISI 和 RSS 的當選會員，以及 ASA、IMS、AAAS 和 ISBA 的當選院士。