Bernoulli

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

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

   

   Definition Classes

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4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

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   Annotations

   @throws( ... )

6. val conjugateFamily: Beta.type

   

   Definition Classes

   Bernoulli → HasConjugatePrior

7. def distribution(p: Double): Bernoulli

   

   Definition Classes

   Bernoulli → ExponentialFamily

8. def emptySufficientStatistic: SufficientStatistic

   

   Definition Classes

   Bernoulli → ExponentialFamily

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

   

   Definition Classes

   AnyRef

10. def equals(arg0: Any): Boolean

    

    Definition Classes

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11. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

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    Annotations

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

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

    

    Definition Classes

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13. def hashCode(): Int

    

    Definition Classes

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14. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

15. def likelihoodFunction(stats: SufficientStatistic): DiffFunction[Double]

    

    Definition Classes

    Bernoulli → ExponentialFamily

16. def mle(stats: SufficientStatistic): Double

    

    Definition Classes

    Bernoulli → ExponentialFamily

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

    

    Definition Classes

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18. final def notify(): Unit

    

    Definition Classes

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19. final def notifyAll(): Unit

    

    Definition Classes

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20. def posterior(prior: Beta.Parameter, evidence: TraversableOnce[Boolean]): Beta.Parameter

    

    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

    Bernoulli → HasConjugatePrior

21. def predictive(parameter: Beta.Parameter): Polya[Counter[Boolean, Double], Boolean]

    

    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

    Bernoulli → HasConjugatePrior

22. def sufficientStatisticFor(t: Boolean): SufficientStatistic

    

    Definition Classes

    Bernoulli → ExponentialFamily

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

    

    Definition Classes

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24. def toString(): String

    

    Definition Classes

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25. final def wait(): Unit

    

    Definition Classes

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    Annotations

    @throws( ... )

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

    

    Definition Classes

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    Annotations

    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )