ISBN-13: 9783030754594 / Angielski / Twarda / 2022 / 500 str.
ISBN-13: 9783030754594 / Angielski / Twarda / 2022 / 500 str.
Alicia Carriquiry was born in Montevideo, Uruguay. Since 1990, she has been on the faculty in the Department of Statistics at Iowa State University. She is currently Distinguished Professor of Liberal Arts and Sciences, holds the President’s Chair in Statistics, and is Director of the Center for Statistics and Applications in Forensic Evidence (CSAFE), a federally funded research center. Alicia is an Elected Member of the National Academy of Medicine, a Fellow of the American Statistical Association, a Fellow of the Institute of Mathematical Statistics, a Fellow of the International Society for Bayesian Analysis, a Fellow of the American Association for the Advancement of Science, and an elected member of the International Statistical Institute. She was named Technical Advisor for the Association of Firearm and Toolmark Examiners in 2018 and was elected to the American Academy of Forensic Sciences as an Associate Member in 2020. Alicia’s research interests include measurement error modeling, survey sampling and Bayesian methods. In recent years, she has become interested in statistical learning algorithms and their application in various disciplines, in particular in forensic science and criminal justice. Alicia met Steve while she was still a doctoral student, and she could always count on him for friendship, good advice, and mentoring. He was a close and trusted friend to her for almost 30 years.
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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