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Backward Simulation Methods for Monte Carlo Statistical Inference

af Fredrik Lindsten

indgår i Foundations and Trends (R) in Machine Learning serien

Backward Simulation Methods for Monte Carlo Statistical Inference af Fredrik Lindsten
Bag om Backward Simulation Methods for Monte Carlo Statistical Inference

Reviews a branch of Monte Carlo methods that are based on the forward-backward idea, and that are referred to as backward simulators. In recent years, the theory and practice of backward simulation algorithms have undergone a significant development, and the algorithms keep finding new applications.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781601986986
  • Indbinding:
  • Paperback
  • Sideantal:
  • 158
  • Udgivet:
  • 30. august 2013
  • Størrelse:
  • 156x234x9 mm.
  • Vægt:
  • 232 g.
  • 8-11 hverdage.
  • 6. december 2024

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Reviews a branch of Monte Carlo methods that are based on the forward-backward idea, and that are referred to as backward simulators. In recent years, the theory and practice of backward simulation algorithms have undergone a significant development, and the algorithms keep finding new applications.

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