# Grace Wahba

> Grace Goldsmith Wahba is an American statistician and retired I. J. Schoenberg-Hilldale Professor of Statistics at the University of Wisconsin–Madison. She is a pioneer in methods for smoothing noisy data. Best known for the development of generalized cross-validation and "Wahba's problem", she has developed methods with applications in demographic studies, machine learning, DNA microarrays, risk modeling, medical imaging, and climate prediction.

*American statistician and university teacher (born 1934)*

**Canonical URL:** https://fame.am/person/grace-wahba

## Identity
- **Profile type:** Academic ([Wikidata](https://www.wikidata.org/entity/Q39631))
- **Category:** Academics
- **Country:** United States
- **Born:** 1934-08-03
- **Status:** living
- **Gender:** female

## Bio

Imported from discovery source: wikidata-dump

## Fame
- **Popularity score:** 42.6 / 100
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- **Source confidence:** 65.0 / 100
- **Profile completeness:** 75.0 / 100

## Platforms
- **WEBSITE**: http://www.stat.wisc.edu/~wahba/

## Sources
- [Wikiquote](https://en.wikiquote.org/wiki/Grace_Wahba)
- [جراسى واهبا](https://arz.wikipedia.org/wiki/%D8%AC%D8%B1%D8%A7%D8%B3%D9%89_%D9%88%D8%A7%D9%87%D8%A8%D8%A7)
- [Grace Wahba](https://cy.wikipedia.org/wiki/Grace_Wahba)
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- [گریس وہبہ](https://ur.wikipedia.org/wiki/%DA%AF%D8%B1%DB%8C%D8%B3_%D9%88%DB%81%D8%A8%DB%81)
- [Wikidata](https://www.wikidata.org/wiki/Q5591406)

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