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Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects.

Noa Malem-ShinitskiCésar OjedaManfred Opper
Published in: Entropy (2022)
Keyphrases
  • gaussian process
  • gaussian processes
  • model selection
  • learning algorithm
  • regression model
  • bayesian framework
  • feature space
  • high dimensional
  • latent variables
  • approximate inference
  • variational bayesian inference