Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld (Theory and Decision Library A:, Band 54) - Softcover

Softcover

ISBN 10: 303115438X ISBN 13: 9783031154386

Verlag: Springer, 2024

Inhaltsangabe

This Festschrift celebrates Teddy Seidenfeld and his seminal contributions to philosophy, statistics, probability, game theory and related areas. The 13 contributions in this volume, written by leading researchers in these fields, are supplemented by an interview with Teddy Seidenfeld that offers an abbreviated intellectual autobiography, touching on topics of timeless interest concerning truth and uncertainty. Indeed, as the eminent philosopher Isaac Levi writes in this volume: "In a world dominated by Alternative Facts and Fake News, it is hard to believe that many of us have spent our life’s work, as has Teddy Seidenfeld, in discussing truth and uncertainty." The reader is invited to share this celebration of Teddy Seidenfeld’s work uncovering truths about uncertainty and the penetrating insights they offer to our common pursuit of truth in the face of uncertainty.

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Thomas Augustin is Professor of Statistics at Ludwig-Maximilians-Universität München (LMU Munich), where he heads the "Foundations of Statistics and their Applications" Lab. His research interest is to develop set-valued methods for reliable statistical inference, decision making, and machine learning. For this, he utilizes
concepts from imprecise probabilities and partial identification to cope with different kinds of complex uncertainty, like non-randomly missing or coarsened data, non-standard measurement error, ambiguity,
conflicting information, and structural model indeterminacy. 

Fabio G. Cozman is Professor of Computer Science at Escola Politécnica, Universidade de São Paulo (USP), Director of the Center for Artificial Intelligence at USP, with an interest in machine learning and knowledge/uncertainty representation. Engineer (USP) and PhD (Carnegie Mellon University, USA), he has served as Program and General Chair of the Conference on Uncertainty in Artificial Intelligence, Area Chair of the International Joint Conference on Artificial Intelligence, and Associate Editor of the Artificial Intelligence Journal, the Journal of Artificial Intelligence Research, and the Journal of Approximate Reasoning.

Gregory Wheeler is Professor of Philosophy and Computer Science at Frankfurt School of Finance & Management, where he heads the Center for Human & Machine Intelligence and is Academic Director of the Master of Applied Data Science program.  His research interests concern the foundations of probability, bounded rationality, and decision-making under uncertainty involving underspecified models, conflicting information, computational resource bounds, and indeterminacy.  He also co-founded Exaloan AG, a Frankfurt-based financial services software company, where he is Head of Machine Learning.

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This festschrift for Teddy Seidenfeld is a collection of newly commissioned essays on the foundations of probability and statistics by leading experts in the field.  Each contribution touches on Teddy’s seminal contributions and gives an up-to-date state of the field that cannot be found elsewhere. The title, “a reflection on the foundations of probability and statistics”, which calls back to Teddy’s groundbreaking book (with Kadane and Schervish), “Rethinking the Foundations of Probability and Statistics”, bookends a career that has made fundamental contributions to a deeper understanding of uncertainty. It is aimed at all scholars engaged in probability and statistics.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 303115438X
• ISBN 13: 9783031154386
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 360
• Herausgeber: Augustin Thomas, Cozman Fabio Gagliardi, Wheeler Gregory
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland