Geometric

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

2. final def !=(arg0: Any): Boolean

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

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5. final def ==(arg0: Any): Boolean

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

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7. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. val conjugateFamily: Beta.type

   Definition Classes

   Geometric → HasConjugatePrior

9. def distribution(p: Parameter): Geometric

   Definition Classes

   Geometric → ExponentialFamily

10. def emptySufficientStatistic: SufficientStatistic

    Definition Classes

    Geometric → ExponentialFamily

11. final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

12. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

13. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

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    Annotations

    @throws( classOf[java.lang.Throwable] )

14. final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

15. def hashCode(): Int

    Definition Classes

    AnyRef → Any

16. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

17. def likelihoodFunction(stats: SufficientStatistic): DiffFunction[Parameter]

    Definition Classes

    Geometric → ExponentialFamily

18. def mle(stats: SufficientStatistic): Double

    Definition Classes

    Geometric → ExponentialFamily

19. final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

20. final def notify(): Unit

    Definition Classes

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21. final def notifyAll(): Unit

    Definition Classes

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22. def posterior(prior: (Double, Double), evidence: TraversableOnce[Int]): (Double, Double)

    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

    Geometric → HasConjugatePrior

23. def predictive(parameter: (Double, Double)): Nothing

    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

    Geometric → HasConjugatePrior

24. def sufficientStatisticFor(t: Int): SufficientStatistic

    Definition Classes

    Geometric → ExponentialFamily

25. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

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26. def toString(): String

    Definition Classes

    AnyRef → Any

27. final def wait(): Unit

    Definition Classes

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    Annotations

    @throws( ... )

28. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

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    Annotations

    @throws( ... )

29. final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )