这本编辑的书调查了统计学和社会科学中的各种主题，以纪念已故的斯蒂芬·费恩伯格。本书收集了众多当代作家提交的资料，探讨了费恩伯格做出重大贡献的领域，包括列联表和对数线性模型、隐私和保密性、法医学和法律、十年一次的人口普查和其他调查、国家科学院、贝叶斯理论和方法、因果推断和影响原因，混合成员模型，计算和机器学习。每一节都以对费恩伯格贡献的概述开始，接着是费恩伯格的学生、同事和合作者的章节，探讨该主题的最新进展和研究现状。此外，本书还包括传记介绍和纪念性总结章节，包括斯蒂芬和乔伊斯·费恩伯格的密友、前学生、同事和其他亲人的作品，以及照片致敬。
Statistics in the Public Interest: In Memory of Stephen E. Fienberg
This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submissions from a wide range of contemporary authors to explore the fields in which Fienberg made significant contributions, including contingency tables and log-linear models, privacy and confidentiality, forensics and the law, the decennial census and other surveys, the National Academies, Bayesian theory and methods, causal inference and causes of effects, mixed membership models, and computing and machine learning. Each section begins with an overview of Fienberg’s contributions and continues with chapters by Fienberg’s students, colleagues, and collaborators exploring recent advances and the current state of research on the topic. In addition, this volume includes a biographical introduction as well as a memorial concluding chapter comprised of entries from Stephen and Joyce Fienberg’s close friends, former students, colleagues, and other loved ones, as well as a photographic tribute.
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