# SIAM/ASA Journal on Uncertainty Quantification

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/siam-asa-journal-on-uncertainty-quantification/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 2166-2525 |
| ISSNs | 2166-2525 |
| OpenAlex ID | https://openalex.org/S2911293512 |
| Publisher | Society for Industrial and Applied Mathematics |

## Journal papers

- [GAN-Based Priors for Quantifying Uncertainty in Supervised Learning](https://scholariq.org/papers/gan-based-priors-for-quantifying-uncertainty-in-supervised-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.