The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond
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Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Spline Models for Observational Data
Wahba, G. (1990) · doi:10.1137/1.9781611970128 · Cited by 4,184
A practical Bayesian framework for backpropagation networks
MacKay, D. J. C. (1992) · Neural Computation · doi:10.1162/neco.1992.4.3.448 · Cited by 2,917
Some aspects of the spline smoothing approach to non-parametric regression curve fitting
Silverman, B. W. (1985) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1985.tb01327.x · Cited by 1,117
A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
Hutchinson, M. F. (1990) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610919008812866 · Cited by 610
Cited by
A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions
Schulz, E., Speekenbrink, M., & Krause, A. (2018) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2018.03.001 · Cited by 1,735
Kernel partial least squares regression in reproducing kernel hilbert space
Rosipal, R., & Trejo, L. J. (2002) · doi:10.5555/944790.944806 · Cited by 873
Transformer Networks for Trajectory Forecasting
Giuliari, F., Hasan, I., Cristani, M., & Galasso, F. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR) · doi:10.1109/icpr48806.2021.9412190 · Cited by 572
Forecast Methods for Time Series Data: A Survey
Liu, Z., Zhu, Z., Gao, J., & Xu, C. (2021) · IEEE Access · doi:10.1109/access.2021.3091162 · Cited by 247
Paillassa, M., Bertin, E., & Bouy, H. (2020) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201936345 · Cited by 35
Metadata
- Authors
- Williams, C. K. I.
- Venue
- Learning in Graphical Models
- Publisher
- Springer Netherlands
- Published
- 1998
- Pages
- 599-621
- OpenAlex
- W1657213141
- Cited by
- 659
- References
- 7
- FWCI
- 33.44
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond. https://app.cochat.ai/papers/10.1007/978-94-011-5014-9_23
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- Williams, C. K. I. (1998). Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond. Learning in Graphical Models. https://doi.org/10.1007/978-94-011-5014-9_23
Data sources
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.
