citHeader("When using the package, please acknowledge:")

bibentry(bibtype = "Article",
  title        = "Linked Gaussian process emulation for systems of computer models using Matérn kernels and adaptive design",
  author       = c(as.person("Deyu Ming"),
                   as.person("Serge Guillas")),
  journal      = "SIAM/ASA Journal on Uncertainty Quantification",
  year         = "2021",
  volume       = "9",
  number       = "4",
  pages        = "1615--1642",

  textVersion  =
  paste("Ming, D. and Guillas, S. (2021)",
        "Linked Gaussian process emulation for systems of computer models using Matérn kernels and adaptive design,",
        "SIAM/ASA Journal on Uncertainty Quantification. 9(4), 1615-1642.")
)

bibentry(bibtype = "Article",
  title        = "Deep Gaussian process emulation using stochastic imputation",
  author       = c(as.person("Deyu Ming"),
                   as.person("Daniel Williamson"),
                   as.person("Serge Guillas")),
  journal      = "Technometrics",
  year         = "2023",
  volume       = "65",
  number       = "2",
  pages        = "150--161",

  textVersion  =
  paste("Ming, D., Williamson, D., and Guillas, S. (2023)",
        "Deep Gaussian process emulation using stochastic imputation,",
        "Technometrics. (65)2, 150-161.")
)

bibentry(bibtype = "Unpublished",
  title        = "Linked deep Gaussian process emulation for model networks",
  author       = c(as.person("Deyu Ming"),
                   as.person("Daniel Williamson")),
  note         = "arXiv:2306.01212",
  year         = "2023",

  textVersion  =
  paste("Ming, D. and Williamson, D. (2023)",
        "Linked deep Gaussian process emulation for model networks,",
        "arXiv:2306.01212.")
)

bibentry(bibtype = "Manual",
  title        = "dgpsi: An R package powered by Python for modelling linked deep Gaussian processes",
  author       = c(as.person("Deyu Ming"),
                   as.person("Daniel Williamson")),
  note         = "R package version 2.4.0",
  url          = "https://CRAN.R-project.org/package=dgpsi",
  year         = "2024",

  textVersion  =
  paste("Ming, D. and Williamson, D. (2024)",
        "dgpsi: An R package powered by Python for modelling linked deep Gaussian processes,",
        "R package version 2.4.0. https://CRAN.R-project.org/package=dgpsi.")
)
