Packages

class MetropolisFilterProposal[A] extends ProposalGenerator[A] with TransitionProbability[A]

Metropolis Filter Proposal with no correction

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Inherited
  1. MetropolisFilterProposal
  2. TransitionProbability
  3. TransitionRatio
  4. ProposalGenerator
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new MetropolisFilterProposal(generator: ProposalGenerator[A] with TransitionRatio[A], evaluator: DistributionEvaluator[A], logger: AcceptRejectLogger[A])(implicit random: Random)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  8. val evaluator: DistributionEvaluator[A]
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  10. val generator: ProposalGenerator[A] with TransitionRatio[A]
  11. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. def logTransitionProbability(from: A, to: A): Double

    rate of transition from to (log value)

    rate of transition from to (log value)

    Definition Classes
    MetropolisFilterProposalTransitionProbability
  15. def logTransitionRatio(from: A, to: A): Double

    transition ratio forward probability / backward probability

    transition ratio forward probability / backward probability

    Definition Classes
    TransitionProbabilityTransitionRatio
  16. val logger: AcceptRejectLogger[A]
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. def propose(current: A): A

    draw a sample from this proposal distribution, may depend on current state

    draw a sample from this proposal distribution, may depend on current state

    Definition Classes
    MetropolisFilterProposalProposalGenerator
  21. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  22. def toString(): String
    Definition Classes
    MetropolisFilterProposal → AnyRef → Any
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from TransitionProbability[A]

Inherited from TransitionRatio[A]

Inherited from ProposalGenerator[A]

Inherited from AnyRef

Inherited from Any

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