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＜電子ブック＞
Statistics in the Public Interest : In Memory of Stephen E. Fienberg / edited by Alicia L. Carriquiry, Judith M. Tanur, William F. Eddy
(Springer Series in the Data Sciences. ISSN:23655682)

版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
本文言語	英語
大きさ	XXII, 573 p. 91 illus., 66 illus. in color : online resource
著者標目	Carriquiry, Alicia L editor Tanur, Judith M editor Eddy, William F editor SpringerLink (Online service)
件　名	LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Statistics  FREE:Mathematical Applications in Computer Science FREE:Applied Statistics
一般注記	Section 1: Theory and Methods for Categorical Data: Introduction to Section 1: Theory and Methods for Categorical Data(Eddy) -- Prediction for Categorical Data (Wasserman) -- Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research Directions Daniel (Manrique-Vallier) -- Algebraic statistics, tables, and networks: The Fienberg advantage (Petrovi´c) -- Section 2: Theory and Application of Bayesian Methods: Introduction to Section 2: Bayesian Theory and Applications (Carriquiry) -- Colorful Stars and Black Boxes: Bayesian Analysis of Stellar Populations (Meng) -- The Ways of Bayes (In memory of Stephen Fienberg) (Louis) -- Probability Forecasts and Prediction Markets (Mortera) -- Determinantal Priors for Variable Selection (Rockova) -- Section 3: Statistics and the Law: Introduction to Section 3: Statistics and the Law (Eddy) -- Bayes and the Law (Kadane) -- Statistical Considerations for the Analysis and Interpretation of Forensic Evidence (Stern) -- Differences between Bayes Factors and Likelihood Ratios for Quantifying the Forensic Value of Evidence (Ommen) -- Statistical Issues in Assessing the Reliability of Eyewitness Identification (Kafadar) -- Section 4: Causal Analysis : Introduction to Section 4: Causal Analysis (Carriquiry) -- Causes of Effects and Effects of Causes (Cuellar) -- What Can Group Level Data Tell Us About Individual Causality? (Musio) -- Evidence to Guide Decision Making in Clinical Medicine (Singer) -- What Can Policies Do and How Can Social Science Help? (Bradburn) -- Section 5: Surveys and Censuses: Introduction to Section 5: Surveys and Census (Tanur) -- Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margins (Reiter) -- Insights into the Decision on Whether to Statistically Adjust the 2000 Census for Coverage Errors (Thompson) -- 2030 -- A Sensible Census, In Reach (Prewitt) -- Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy (Slavkovic) -- Section6: Official Statistics : Introduction to Section 6: Official Statistics (Tanur) -- The History of “The Politics of Population” in the United States (Anderson) -- Fostering Statistical Rigor for Evidence-Based Policy at the National Academies of Sciences, Engineering, and Medicine (Citro) -- New data sources and inference methods for official statistics (Brakel) -- Understanding the United States’ Official Statistics System (Wallman) -- Section 7: Steve and Joyce as we knew them : Introduction to Section 7: Steve and Joyce as we knew them (Tanur) -- Stephen Elliot Fienberg, an Obituary (Stigler).-. Bill Eddy remembers Steve (Eddy) -- Statistical Service (Reid) -- Stephen Fienberg: Cause or Effect? Node or Edge? A Comparative Study (Stigler) -- On the Origins of Data Visualization (Wainer) -- “Belizaire,” the CHANCE Restaurant Critic (Madansky) -- Judy Tanur Remembers Steve (Tanur) -- A Conversation with Stephen E. Fienberg (Tanur) -- Reminiscences from Steve’s 65th Birthday Celebration (Smykla) -- Reminiscences from Steve’s Emeritus Celebration (Smykla) -- Joyce Fienberg, A Woman of Grace, and Wisdom (Leinhardt) -- Obituary of Joyce Fienberg (Smykla) -- Reminiscences of Joyce (Smykla) -- Photographs -- Stephen Fienberg’s Doctoral Advisees and Co-Advisees 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 otherloved ones, as well as a photographic tribute. HTTP:URL=https://doi.org/10.1007/978-3-030-75460-0

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