Structured Bayesian Gaussian process latent variable model: Applications to data-driven dimensionality reduction and high-dimensional inversion

Steven Atkinson, Nicholas Zabaras. Structured Bayesian Gaussian process latent variable model: Applications to data-driven dimensionality reduction and high-dimensional inversion. J. Comput. Physics, 383:166-195, 2019. [doi]

@article{AtkinsonZ19,
  title = {Structured Bayesian Gaussian process latent variable model: Applications to data-driven dimensionality reduction and high-dimensional inversion},
  author = {Steven Atkinson and Nicholas Zabaras},
  year = {2019},
  doi = {10.1016/j.jcp.2018.12.037},
  url = {https://doi.org/10.1016/j.jcp.2018.12.037},
  researchr = {https://researchr.org/publication/AtkinsonZ19},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Physics},
  volume = {383},
  pages = {166-195},
}