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Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation

Scientific article; Craven and Wahba (1978/1979)
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Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation

Summary

Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation is an academic journal article[1].

Key Facts

  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation authored Estimating the correct degree of smoothing by the method of generalized cross-validation — author (P50): Grace Wahba[2].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's instance of is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — instance of (P31): academic journal article[3].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's page is recorded as 377-403[4].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's DOI is recorded as 10.1007/BF01404567[5].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's volume is recorded as 31[6].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's publication date is recorded as +1978-12-00T00:00:00Z[7].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's number of pages is recorded as {'unit': '1', 'amount': '+27'}[8].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's published in is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — published in (P1433): Numerische Mathematik[9].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's title is recorded as Smoothing noisy data with spline functions[10].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's subtitle is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation[11].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's different from is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — different from (P1889): Smoothing noisy data with spline functions[12].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's author name string is recorded as Peter Craven[13].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's cites work is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — cites work (P2860): Theory of reproducing kernels[14].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's cites work is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — cites work (P2860): Approximation by periodic spline interpolants on uniform meshes[15].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's cites work is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — cites work (P2860): Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter[16].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's cites work is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — cites work (P2860): Singular Value Decomposition and Least Squares Solutions[17].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's cites work is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — cites work (P2860): A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines[18].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's cites work is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — cites work (P2860): SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION.[19].
  • Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's cites work is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — cites work (P2860): Smoothing noisy data with spline functions[20].

Body

Designation and Status

Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation's instance of is recorded as Estimating the correct degree of smoothing by the method of generalized cross-validation — instance of (P31): academic journal article[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . DOI.org query endpoint. wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation. Retrieved May 3, 2026, from https://4ort.xyz/entity/smoothing-noisy-data-with-spline-functions-estimating-the-correct-degree-of-smoothing-by-the-method-of-generalized-cross-validation
MLA “Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/smoothing-noisy-data-with-spline-functions-estimating-the-correct-degree-of-smoothing-by-the-method-of-generalized-cross-validation.
BibTeX @misc{4ortxyz_smoothing-noisy-data-with-spline-functions-estimating-the-correct-degree-of-smoothing-by-the-method-of-generalized-cross-validation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation}}, year = {2026}, url = {https://4ort.xyz/entity/smoothing-noisy-data-with-spline-functions-estimating-the-correct-degree-of-smoothing-by-the-method-of-generalized-cross-validation}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation — https://4ort.xyz/entity/smoothing-noisy-data-with-spline-functions-estimating-the-correct-degree-of-smoothing-by-the-method-of-generalized-cross-validation (retrieved 2026-05-03)

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