paper
2019
Applications & impacts
Review, survey or tutorial
Classical ML (trees, GP, linear, kernels) Journal
2019-04-17
008
Apr 2019
Vyacheslav Lyubchich, Nathaniel K. Newlands, Azar Ghahari et al.
Wiley Interdisciplinary Reviews Computational Statistics
Review of statistical and machine learning methods for assessing climate-driven non-catastrophic weather risk in agricultural and home insurance.
Insurance risk assessment in the face of climate change: Integrating data science and statistics
In one sentence. Review of statistical and machine learning methods for assessing climate-driven non-catastrophic weather risk in agricultural and home insurance.
Labels
- Topic
- Applications & impacts
- Type
- Review, survey or tutorial
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1002/wics.1462 OpenAlex:W2936732373
- Added
- 2026-10-22
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