Sara Wade

Reader in Statistics and Data Science


Curriculum vitae


[email protected]


School of Mathematics

University of Edinburgh

Room 5406
James Clerk Maxwell Building, Edinburgh, EH9 3FD



Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data


Journal article


W. Yu, S. Wade, H.D. Bondell, L. Azizi
Journal of Computational and Graphical Statistics, vol. 32(2), 2022, pp. 588-600


Paper Github
Cite

Cite

APA   Click to copy
Yu, W., Wade, S., Bondell, H. D., & Azizi, L. (2022). Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data. Journal of Computational and Graphical Statistics, 32(2), 588–600. https://doi.org/10.1080/10618600.2022.2098136


Chicago/Turabian   Click to copy
Yu, W., S. Wade, H.D. Bondell, and L. Azizi. “Non-Stationary Gaussian Process Discriminant Analysis with Variable Selection for High-Dimensional Functional Data.” Journal of Computational and Graphical Statistics 32, no. 2 (2022): 588–600.


MLA   Click to copy
Yu, W., et al. “Non-Stationary Gaussian Process Discriminant Analysis with Variable Selection for High-Dimensional Functional Data.” Journal of Computational and Graphical Statistics, vol. 32, no. 2, 2022, pp. 588–600, doi:10.1080/10618600.2022.2098136.


BibTeX   Click to copy

@article{yu2022a,
  title = {Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data},
  year = {2022},
  issue = {2},
  journal = {Journal of Computational and Graphical Statistics},
  pages = {588-600},
  volume = {32},
  doi = {10.1080/10618600.2022.2098136},
  author = {Yu, W. and Wade, S. and Bondell, H.D. and Azizi, L.}
}


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