Package

dlm

examples

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package examples

Visibility
  1. Public
  2. All

Type Members

  1. trait CorrelatedData extends AnyRef

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  2. trait CorrelatedModel extends AnyRef

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  3. trait DlmModel extends AnyRef

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  4. trait FirstOrderDlm extends AnyRef

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  5. trait PoissonData extends AnyRef

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  6. trait PoissonDglm extends AnyRef

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  7. trait SeasonalData extends AnyRef

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  8. trait SeasonalModel extends AnyRef

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  9. trait SimulatedData extends AnyRef

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  10. trait SimulatedSecondOrderData extends AnyRef

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  11. trait StudenttData extends AnyRef

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  12. trait StudenttDglm extends AnyRef

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Value Members

  1. object FilterCorrelatedDlm extends App with CorrelatedModel with CorrelatedData

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  2. object FilterDlm extends App with FirstOrderDlm with SimulatedData

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  3. object FilterSeasonalDlm extends App with SeasonalModel with SeasonalData

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    Filter the seasonal DLM

  4. object FilterSecondOrderDlm extends App with DlmModel with SimulatedSecondOrderData

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  5. object FirstOrderLinearTrendDlm extends App

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  6. object ForecastSeasonal extends App with SeasonalModel with SeasonalData

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  7. object GibbsCorrelated extends App with CorrelatedModel with CorrelatedData

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  8. object GibbsInvestParameters extends App with DlmModel

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  9. object GibbsParameters extends App with FirstOrderDlm with SimulatedData

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  10. object GibbsSecondOrder extends App with DlmModel with SimulatedSecondOrderData

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  11. object ParticleGibbsAncestorFo extends App with FirstOrderDlm with SimulatedData

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  12. object ParticleGibbsFo extends App with FirstOrderDlm with SimulatedData

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    Run Particle Gibbs Sampling on the first order DLM Recreate Figure 2 from Lindsten 14

  13. object PoissonDglmGibbs extends App with PoissonDglm with PoissonData

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    Use Particle Gibbs to determine the parameters of the poisson DGLM

  14. object PoissonDglmGibbsAncestor extends App with PoissonDglm with PoissonData

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  15. object SampleStates extends App with SeasonalModel with SeasonalData

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    Sample the state using FFBS algorithm

  16. object SeasonalGibbsSampling extends App with SeasonalModel with SeasonalData

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    Use Gibbs sampling with Inverse Gamma priors on the observation variance and diagonal system covariance

  17. object SeasonalMetropolis extends App with SeasonalModel with SeasonalData

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    Using the Metropolis alogrithm to determine the parameters of the simulated Seasonal Model

  18. object SimulateCorrelated extends App with CorrelatedModel

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  19. object SimulateDlm extends App with FirstOrderDlm

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  20. object SimulatePoissonDglm extends App with PoissonDglm

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  21. object SimulateSeasonalDlm extends App with SeasonalModel

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    Simulate data from a Seasonal DLM

  22. object SimulateSecondOrderDlm extends App with DlmModel

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  23. object SimulateStudentT extends App with StudenttDglm

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  24. object SmoothDlm extends App with FirstOrderDlm with SimulatedData

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  25. object SmoothSeasonalDlm extends App with SeasonalModel with SeasonalData

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    Run backward smoothing on the seasonal DLM

  26. object SmoothSecondOrderDlm extends App with DlmModel with SimulatedSecondOrderData

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  27. object StudentTGibbsTest extends App with StudenttDglm with StudenttData

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    Use Kalman Filtering to determine the parameters of the Student's t-distribution DGLM

  28. object StudentTPG extends App with StudenttDglm with StudenttData

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  29. object StudentTpmmh extends App with StudenttDglm with StudenttData

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  30. object SusteInvestment extends App with CorrelatedModel

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