Packages

class ExpFam[T, I] extends ExponentialFamily[Multinomial[T, I], I] with HasConjugatePrior[Multinomial[T, I], I]

Linear Supertypes
HasConjugatePrior[Multinomial[T, I], I], ExponentialFamily[Multinomial[T, I], I], AnyRef, Any
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Inherited
  1. ExpFam
  2. HasConjugatePrior
  3. ExponentialFamily
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ExpFam(exemplar: T)(implicit space: MutableFiniteCoordinateField[T, I, Double])

Type Members

  1. type ConjugatePrior = Dirichlet[T, I]
    Definition Classes
    ExpFam → HasConjugatePrior
  2. type Parameter = T
    Definition Classes
    ExpFam → ExponentialFamily
  3. case class SufficientStatistic (counts: T) extends distributions.SufficientStatistic[SufficientStatistic] with Product with Serializable

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[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. val conjugateFamily: Dirichlet.ExpFam[T, I]
    Definition Classes
    ExpFam → HasConjugatePrior
  7. def distribution(p: Parameter): Multinomial[T, I]
    Definition Classes
    ExpFam → ExponentialFamily
  8. def emptySufficientStatistic: SufficientStatistic
    Definition Classes
    ExpFam → ExponentialFamily
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. def likelihoodFunction(stats: SufficientStatistic): DiffFunction[T]
    Definition Classes
    ExpFam → ExponentialFamily
  16. def mle(stats: SufficientStatistic): T
    Definition Classes
    ExpFam → ExponentialFamily
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  20. def posterior(prior: Dirichlet.ExpFam.Parameter, evidence: TraversableOnce[I]): T

    Gives a new parameter for this conjugate prior after observing the evidence.

    Gives a new parameter for this conjugate prior after observing the evidence. See Dirichlet for an example.

    Definition Classes
    ExpFam → HasConjugatePrior
  21. def predictive(parameter: Dirichlet.ExpFam.Parameter): Polya[Dirichlet.ExpFam.Parameter, I]

    Returns a distribtution over T's after integrating out the intermediate distributions.

    Returns a distribtution over T's after integrating out the intermediate distributions.

    Definition Classes
    ExpFam → HasConjugatePrior
  22. def sufficientStatisticFor(t: I): SufficientStatistic
    Definition Classes
    ExpFam → ExponentialFamily
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
    AnyRef → Any
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from HasConjugatePrior[Multinomial[T, I], I]

Inherited from ExponentialFamily[Multinomial[T, I], I]

Inherited from AnyRef

Inherited from Any

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