The DOI matches its Crossref record.
Spline Models for Observational Data
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“As shown in [18], Equation (1) can be analytically solved efficiently; details are provided in Appendix 9.1.”
From Learning from Demonstrations Through the Use of Non-rigid Registration (2016) · cites this paper as [18]
Citations
Cited by
Sorted by citations
A tutorial on support vector regression
Smola, A. J., & Schölkopf, B. (2004) · Statistics and Computing · doi:10.1023/b:stco.0000035301.49549.88 · Cited by 13,723
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Lu, Z. Q. J. (2010) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2010.00646_6.x · Cited by 12,916
De-noising by soft-thresholding
Donoho, D. L. (1995) · IEEE Transactions on Information Theory · doi:10.1109/18.382009 · Cited by 9,655
Wood, S. N. (2010) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2010.00749.x · Cited by 7,538
Shape matching and object recognition using shape contexts
Belongie, S., Malik, J., & Puzicha, J. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.993558 · Cited by 6,306
Metadata
- Authors
- Wahba, G.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Wahba, Grace
- Venue
- Society for Industrial and Applied Mathematics eBooks
- Published
- 1990-01-01
- OpenAlex
- W4298876635
- Cited by
- 4,184
- References
- 0
- Citations by year
- 2026: 89 · 2025: 147 · 2024: 135 · 2023: 141 · 2022: 156 · 2021: 191 · 2020: 184 · 2019: 154 · 2018: 165 · 2017: 156 · 2016: 140 · 2015: 152 · 2014: 156 · 2013: 161 · 2012: 163
- FWCI
- 17.89
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Society for Industrial and Applied Mathematics eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
- Keywords
- spline models, smoothing splines, nonparametric regression, penalized splines, bandwidth selection, loess
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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