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On arbitrarily slow convergence rates for strong numerical approximations of Cox-Ingersoll-Ross processes and squared Bessel processes.

Mario HefterArnulf Jentzen
Published in: Finance Stochastics (2019)
Keyphrases
  • convergence rate
  • support vector
  • least squares
  • optimization algorithm
  • feature selection
  • objective function
  • convergence speed
  • learning rate