arXiv (All)
open access
Subjective Risk Decomposition: A New View for Uncertainty Quantification
We present a novel viewpoint for uncertainty quantification. Uncertainty measures are not primitives, in need of axioms and argumentation, but instead consequences, of higher-level modelling decisions. We show how epistemic and aleatoric uncertainty measures can be derived via decomposition of a sub
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Subjective Risk Decomposition: A New View for Uncertainty Quantification#373378
- On the appropriate and inappropriate uses of probability distributions in climate projections and some alternatives#744047
- Fuzzy, Intuitionistic and Neutrosophic Set Theories and Their Applications in Decision Analysis#719912
- On the safe side: Uncertainty awareness for hydroclimatic risk and loss aversion#77552
- How Spatial Uncertainty in Probabilistic Weather Forecasts Shapes Risk Perception#16498
Record · ID 1012273
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive