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Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems.

Yu-Hong YeungDavid A. Barajas-SolanoAlexandre M. Tartakovsky
Published in: CoRR (2023)
Keyphrases
  • gaussian process regression
  • inverse problems
  • data assimilation
  • gaussian processes
  • probabilistic model
  • model selection
  • gaussian process
  • global optimization
  • bayesian framework
  • simulation models