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Projection Pursuit Regression
Open accessAbstract
A new method for nonparametric multiple regression is presented. The procedure models the regression surface as a sum of general smooth functions of linear combinations of the predictor variables in an iterative manner. It is more general than standard stepwise and stagewise regression procedures, does not require the definition of a metric in the predictor space, and lends itself to graphical interpretation.
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Metadata
- Authors
- Friedman, J. H., & Stuetzle, W.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1981-12
- Volume
- 76
- Issue
- 376
- Pages
- 817-823
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2091886411
- Cited by
- 2,216
- References
- 0
- FWCI
- 13.35
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
