Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting

Agathe Girard, Carl Edward Rasmussen, Joaquin QuiƱonero Candela, Roderick Murray-Smith. Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting. In Suzanna Becker, Sebastian Thrun, Klaus Obermayer, editors, Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada]. pages 529-536, MIT Press, 2002. [doi]

@inproceedings{GirardRCM02,
  title = {Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting},
  author = {Agathe Girard and Carl Edward Rasmussen and Joaquin QuiƱonero Candela and Roderick Murray-Smith},
  year = {2002},
  url = {http://books.nips.cc/papers/files/nips15/AA06.pdf},
  researchr = {https://researchr.org/publication/GirardRCM02},
  cites = {0},
  citedby = {0},
  pages = {529-536},
  booktitle = {Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada]},
  editor = {Suzanna Becker and Sebastian Thrun and Klaus Obermayer},
  publisher = {MIT Press},
  isbn = {0-262-02550-7},
}