v147: Proceedings of ISIPTA 2021

2026-06-10 · Source: Proceedings of Machine Learning Research · Field: Science & Research — Mathematics & Computational Sciences, Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Expert, medium

Summary

Volume 147 presents the proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2021), held from July 6-9, 2021, at the University of Granada, Spain. The collection features research across various facets of imprecise probability, including foundational theories like "desirable gambles", "credal sets", and "belief functions", alongside their applications. Papers explore advanced topics such as info-gap frameworks for structural reliability, quantum indistinguishability, imprecise Markov chains, and possibilistic arithmetic. Practical applications are highlighted in areas like multi-label classification, electoral forecasting, Bayesian decision-making, and robust model checking. This volume offers significant insights into managing epistemic uncertainty and enhancing decision-making under imprecision across diverse scientific and engineering domains.

Key takeaway

The ISIPTA 2021 proceedings compile cutting-edge research on imprecise probability, addressing challenges in modeling and decision-making under severe uncertainty. It features advancements across theoretical foundations like Credal Sets, Imprecise Markov Chains, and Desirable Gambles, alongside practical applications in structural reliability, multi-label classification, and robust model checking. This volume is essential for researchers and practitioners in AI, statistics, engineering, and risk management seeking robust methodologies for inference and decision-making when precise probabilities are unavailable.

Topics

• Imprecise Probability Theory
• Epistemic Uncertainty Modeling
• Desirable Gambles
• Credal Sets
• Imprecise Markov Chains

Best for: AI Scientist, Research Scientist

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