Package

com.github.jonnylaw

examples

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package examples

Visibility
  1. Public
  2. All

Type Members

  1. trait LgcpModel extends AnyRef

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  2. trait LinearTestModel extends AnyRef

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  3. trait PoissonTestModel extends AnyRef

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  4. trait SeasonalTestModel extends AnyRef

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  5. trait TModel extends AnyRef

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  6. trait TestModel extends AnyRef

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    Define a model to use throughout the examples in this file

Value Members

  1. object DetermineComposedParams extends TestModel

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  2. object DetermineComposedParamsBlockwise extends App with TestModel

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    Create multiple Metropolis Kernels and monitor the acceptance of each block

  3. object DetermineLinearParameters extends App with LinearTestModel

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  4. object DeterminePoissonParams extends App with PoissonTestModel

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  5. object DeterminePoissonPosterior extends App with PoissonTestModel

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    Sample from the join posterior of the state and parameters p(x, theta | y)

  6. object DetermineSeasonalParameters extends App with SeasonalTestModel

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  7. object FilterLinear extends App with LinearTestModel

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  8. object FilterPoisson extends App with PoissonTestModel

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    Run the filter over the last 100 elements of the simulted data using samples from the joint-posterior of the state and parameters, p(x, theta | y)

  9. object FilterSeasonal extends App with SeasonalTestModel

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  10. object FilterSeasonalPoisson extends TestModel

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  11. object FilteringLgcp extends App with LgcpModel

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  12. object GetLgcpParams extends App with LgcpModel

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  13. object GetSeasTParams extends App with TModel

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  14. object LinearFullPosterior extends App with LinearTestModel

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  15. object LongTermForecast extends App with PoissonTestModel

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    Perform a long term forecast, by sampling from the full joint posterior p(x, theta | y) a pair consisting of the state at the time of the last observation and the associated parameter*value

  16. object OneStepForecastLinear extends App with LinearTestModel

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    Perform a one step forecast of the data

  17. object OneStepForecastPoisson extends App with PoissonTestModel

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    Perform a one step forecast on the poisson data, using unseen test data, Sampling from the joint posterior of the parameters and the state p(x, theta | y)

  18. object PilotRunComposed extends App with TestModel

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  19. object PilotRunLinear extends App with LinearTestModel

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    Perform a pilot run of the PMMH algorithm, to determine the optimum number of particles to use in the particle filter

  20. object PilotRunPoisson extends App with PoissonTestModel

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    Determine how many particles are required to run the MCMC

  21. object SeasStudentT extends App with TModel

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  22. object SeasonalPilotRun extends App with SeasonalTestModel

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  23. object SimLinearModel extends App with LinearTestModel

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  24. object SimOrnstein extends App

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  25. object SimPoissonModel extends App with PoissonTestModel

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  26. object SimSeasonalModel extends App with SeasonalTestModel

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  27. object SimulateBrownianMotion extends App

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    Simulate an SDE

  28. object SimulateLGCP extends App with LgcpModel

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  29. object SimulateSeasonalPoisson extends App with TestModel

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    Simulate a poisson model, with seasonal rate parameter

Ungrouped