The DOI matches its Crossref record.
Canonical Correlation Analysis When the Data are Curves
Abstract
SUMMARY: It is not immediately straightforward to extend canonical correlation analysis to the context of functional data analysis, where the data are themselves curves or functions. The obvious approach breaks down, and it is necessary to use a method involving smoothing in some way. Such a method is introduced and discussed with reference to a data set on human gait. The breakdown of the unsmoothed method is illustrated in a practical context and is demonstrated theoretically. A consistency theorem for the smoothed method is proved.
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Cited by
Succession of microbial consortia in the developing infant gut microbiome
Koenig, J. E., Spor, A., Scalfone, N., Fricker, A. D., Stombaugh, J., Knight, R., Angenent, L. T., & Ley, R. E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000081107 · Cited by 2,540
Metadata
- Authors
- Leurgans, S. E., Moyeed, R. A., & Silverman, B. W.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 1993-07-01
- Volume
- 55
- Issue
- 3
- Pages
- 725-740
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W1601511468
- Cited by
- 319
- References
- 0
- FWCI
- 2.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Canonical Correlation Analysis When the Data are Curves. https://app.cochat.ai/papers/10.1111/j.2517-6161.1993.tb01936.x
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- Leurgans, S. E., Moyeed, R. A., & Silverman, B. W. (1993). Canonical Correlation Analysis When the Data are Curves. Journal of the Royal Statistical Society Series B: Statistical Methodology. https://doi.org/10.1111/j.2517-6161.1993.tb01936.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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