Glenn Shafer

Glenn Shafer is affiliated with Rutgers, The State University of New Jersey in the United States. Their research spans significant contributions in the fields of Mathematics and Computer Science, with a particular focus on Statistics and Probability, Artificial Intelligence, and related computational theories.

The main topics addressed in their work include:

• Computability, Logic, AI Algorithms
• Statistics Education and Methodologies
• Statistical Methods and Inference
• Statistical Methods in Clinical Trials
• Advanced Statistical Methods and Models
• Sports Analytics and Performance
• Bayesian Modeling and Causal Inference

Frequent co-authors in their research include Vladimir Vovk, Aaditya Ramdas, Peter Grünwald, Laurent Bienvenu, and Alexander Shen. Publications are commonly found in venues such as:

• Statistical Science
• International Journal of Approximate Reasoning
• arXiv (Cornell University)
• Journal of the Royal Statistical Society Series A (Statistics in Society)
• Aresty Rutgers Undergraduate Research Journal

Recent papers by Glenn Shafer include:

• "Testing by Betting: A Strategy for Statistical and Scientific Communication," 2021, Journal of the Royal Statistical Society Series A (Statistics in Society)
• "The notion of event in probability and causality: Situating myself relative to Bruno de Finetti," 2021, International Journal of Approximate Reasoning
• "Author's reply to the Discussion of 'Testing by Betting: A Strategy for Statistical and Scientific Communication' by Glenn Shafer," 2021, Journal of the Royal Statistical Society Series A (Statistics in Society)

Although not a recent publication, collaborations with Aaditya Ramdas yielded the papers "Game-Theoretic Statistics and Safe Anytime-Valid Inference" published in 2023 in Statistical Science and the earlier 2022 piece "Game-theoretic statistics and safe anytime-valid inference" on arXiv (Cornell University).

Glenn Shafer has also authored books published by Princeton University Press and Springer International Publishing. Titles include:

• A Mathematical Theory of Evidence, 2020, Princeton University Press
• The Splendors and Miseries of Martingales, 2022, Springer International Publishing

They received the Fellow of the John Simon Guggenheim Memorial Foundation award in 1983. In 1992, they were named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for contributions related to the Dempster-Shafer theory of evidence and its applications to AI systems.