Overview
- Brings together quality scholarship
- Examines findings in imprecise probability
- Contains unique state-of-the-art research
Part of the book series: Theory and Decision Library A: (TDLA, volume 54)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (13 chapters)
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Reflections on the Foundations of Probability and Statistics
Book Subtitle: Essays in Honor of Teddy Seidenfeld
Editors: Thomas Augustin, Fabio Gagliardi Cozman, Gregory Wheeler
Series Title: Theory and Decision Library A:
DOI: https://doi.org/10.1007/978-3-031-15436-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-15435-5Published: 15 January 2023
Softcover ISBN: 978-3-031-15438-6Published: 15 January 2024
eBook ISBN: 978-3-031-15436-2Published: 14 January 2023
Series ISSN: 0921-3384
Series E-ISSN: 2352-2119
Edition Number: 1
Number of Pages: XII, 346
Number of Illustrations: 12 b/w illustrations, 21 illustrations in colour
Topics: Epistemology, Probability and Statistics in Computer Science, Statistics, general, History of Philosophy