Aleatory or epistemic? Does it matter?
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Model uncertainty comprises two forms: aleatoric uncertainty, arising from noise in data or labels, and epistemic uncertainty, arising from data sparsity or out-of-distribution inputs.
“Uncertainty may appear in two forms, aleatoric uncertainty and epistemic uncertainty [67], with the former being caused by data or label noise and the latter being caused by sparsity or out-of-data distribution.”
From Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches (2023) · cites this paper as [67]
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- Authors
- Kiureghian, A. D., & Ditlevsen, O.
- Affiliations
- University of California, Berkeley (US)
- Technical University of Denmark (DK)
- Corresponding author
- Kiureghian, Armen Der
- Venue
- Structural Safety
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 31
- Issue
- 2
- Pages
- 105-112
- ISSN
- 0167-4730 (ISSN-L)
- OpenAlex
- W2111959010
- Cited by
- 2,454
- References
- 17
- Citations by year
- 2026: 232 · 2025: 252 · 2024: 268 · 2023: 300 · 2022: 249 · 2021: 284 · 2020: 192 · 2019: 139 · 2018: 107 · 2017: 92 · 2016: 85 · 2015: 75 · 2014: 57 · 2013: 37 · 2012: 41
- FWCI
- 16.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Structural Safety (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Probabilistic and Robust Engineering Design
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Risk and Safety Analysis
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Geotechnical Engineering and Analysis
- Keywords
- aleatoric uncertainty, epistemic uncertainty, uncertainty characterization, engineering modeling, reliability analysis, risk analysis, statistical dependence, time-dependent reliability, performance-based engineering, risk-based decision making
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