Principles of Uncertainty

《不確定性原則》第二版延續了第一版的成功，以易懂、全面的方式介紹了貝葉斯統計學的理論。本書以引人入勝的風格撰寫，並融入了豐富有趣的例子。

Joseph B. Kadane (born January 10, 1941) is the Leonard J. Savage University Professor of Statistics, Emeritus in the Department of Statistics and Social and Decision Sciences at Carnegie Mellon University. He is one of the early proponents of Bayesian statistics, particularly the subjective Bayesian philosophy. Born in Washington, DC and raised in Freeport on Long Island, Kadane (known as Jay), prepared at Phillips Exeter Academy, earned an A.B. in mathematics from Harvard College and a Ph.D. in statistics from Stanford in 1966, under the supervision of Professor Herman Chernoff. While in graduate school, Jay worked for the Center for Naval Analyses (CNA). Upon finishing, he accepted a joint appointment at the Yale statistics department and the Cowles Foundation. In 1968 he left Yale and served as an analyst at CNA for three years. In 1971, Jay moved to Pittsburgh to join Morris H. DeGroot at Carnegie Mellon University. He became the second tenured professor in the Department of Statistics. Jay served as department head from 1972-1981 and steered the department to a balance between theoretical and applied work, advocating that statisticians should engage in joint research in substantive areas rather than acting as consultants.Jay's contributions span a wide range of fields: econometrics, law, medicine, political science, sociology, computer science (see maximum subarray problem), archaeology, and environmental science, among others. Among many honors, Jay has been elected as a Fellow of the American Academy of Arts and Sciences, a fellow of the American Association for the Advancement of Science, a fellow of the American Statistical Association, and a fellow of the Institute of Mathematical Statistics. He has authored over 250 peer-reviewed publications and has served the statistical community in many capacities, including as editor of the Journal of the American Statistical Association from 1983-85.

Joseph B. Kadane（生於1941年1月10日）是卡內基梅隆大學統計學和社會與決策科學系的Leonard J. Savage大學教授（已退休）。他是貝葉斯統計學的早期倡導者之一，尤其是主觀貝葉斯哲學。Kadane（以Jay為人所知）出生於華盛頓特區，成長於長島的Freeport，他在菲利普斯埃克塞特學院接受教育，並在哈佛學院獲得數學學士學位，於1966年在斯坦福大學獲得統計學博士學位，指導教授為Herman Chernoff教授。在研究生期間，Jay在海軍分析中心（CNA）工作。畢業後，他接受了耶魯大學統計學系和考爾斯基金會的聯合任命。1968年，他離開耶魯並在CNA擔任分析師三年。1971年，Jay搬到匹茲堡加入Morris H. DeGroot在卡內基梅隆大學的團隊。他成為統計學系的第二位終身教授。Jay在1972年至1981年期間擔任系主任，引導系所在理論和應用工作之間取得平衡，主張統計學家應該參與實質領域的聯合研究，而不僅僅是充當顧問。Jay的貢獻涵蓋了多個領域：計量經濟學、法律、醫學、政治學、社會學、計算機科學（參見最大子數組問題）、考古學和環境科學等。Jay獲得了許多榮譽，包括當選為美國藝術與科學院院士、美國科學促進會會士、美國統計學會會士和數理統計學會會士。他撰寫了250多篇同行評審的出版物，並在許多職位上為統計學界服務，包括擔任《美國統計學會期刊》的編輯（1983年至1985年）。