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Nonparametric Regression and Generalized Linear Models
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Cited by
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
“It turns out that the coefficients α and β can be computed in time O(n) using an algorithm due to Reinsch; see Green and Silverman [1994, sec. 2.3.3] for details. Splines were first used in regression problems. However, by using generalized linear modelling [McCullagh and Nelder, 1983] they can be extended to classifi…”
InfluentialGeneralized additive models for location, scale and shape.
Rigby, R. A., & Stasinopoulos, D. M. (2005) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/j.1467-9876.2005.00510.x · Cited by 3,228
Sanderson, M. J. (2002) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a003974 · Cited by 1,977
A review of spline function procedures in R
Perperoglou, A., Sauerbrei, W., Abrahamowicz, M., & Schmid, M. (2019) · BMC Medical Research Methodology · doi:10.1186/s12874-019-0666-3 · Cited by 585
Model Choice in Time Series Studies of Air Pollution and Mortality
Peng, R. D., Dominici, F., & Louis, T. A. (2006) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2006.00410.x · Cited by 583
The analysis of designed experiments and longitudinal data by using smoothing splines
Verbyla, A. P., Cullis, B. R., Kenward, M. G., & Welham, S. J. (1999) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/1467-9876.00154 · Cited by 570
Unravelling the predictive power of telematics data in car insurance pricing
Verbelen, R., Antonio, K., & Claeskens, G. (2018) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/rssc.12283 · Cited by 126
Heaton, T. J., Blaauw, M., Blackwell, P. G., Bronk Ramsey, C., Reimer, P. J., & Scott, E. M. (2020) · Radiocarbon · doi:10.1017/rdc.2020.46 · Cited by 124
Plant species as predictors of soil pH: Replacing expert judgement with measurements
Wamelink, G. W. W., Goedhart, P. W., Van Dobben, H. F., & Berendse, F. (2005) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2005.tb02386.x · Cited by 116
Policing the homeless: An evaluation of efforts to reduce homeless‐related crime
Berk, R., & MacDonald, J. (2010) · Criminology & Public Policy · doi:10.1111/j.1745-9133.2010.00673.x · Cited by 93
Ciannelli, L., Bailey, K. M., Chan, K.-S., & Stenseth, N. C. (2007) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f07-049 · Cited by 41
Tensor cubic smoothing splines in designed experiments requiring residual modelling
Verbyla, A. P., De Faveri, J., Wilkie, J. D., & Lewis, T. (2018) · Journal of Agricultural, Biological and Environmental Statistics · doi:10.1007/s13253-018-0334-9 · Cited by 16
Ridley, B. J., Cornelissen, P. L., Maalin, N., Mohamed, S., Kramer, R. S. S., McCarty, K., & Tovée, M. J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.980277 · Cited by 18
“In each case for (c) and (d) we calculated smoothed spline interpolations (Harder and Desmarais, 1972; Meinguet, 1979; Green and Silverman, 1994) using PROC MIXED in SAS v9.”
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Random regression models for multi-environment, multi-time data from crop breeding selection trials
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Metadata
- Authors
- Green, P. J., & Silverman, B. W.
- Venue
- Springer eBooks
- Publisher
- Springer US
- Published
- 1994
- OpenAlex
- W2065540158
- Cited by
- 1,925
- References
- 0
- FWCI
- 7.90
- Type
- book
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.