ContinuousDistrMixture

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def *(other: Domain)(implicit ev: Field[Domain]): ContinuousRandomVariable[Domain]

   

   Return the random variable that results from multiplying a provided quantity in the Domain to the current random variable.

   Return the random variable that results from multiplying a provided quantity in the Domain to the current random variable.

   other

   The value to be multiplied to this random variable.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

4. def *(other: ContinuousRandomVariable[Domain])(implicit ev: Field[Domain]): ContinuousRandomVariable[Domain]

   

   Return the random variable that results from multiplying a provided random variable to the current random variable.

   Return the random variable that results from multiplying a provided random variable to the current random variable.

   other

   The random variable to be multiplied to this.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

5. def +(other: Domain)(implicit ev: Field[Domain]): ContinuousRandomVariable[Domain]

   

   Return the random variable that results from adding a provided quantity in the Domain to the current random variable.

   Return the random variable that results from adding a provided quantity in the Domain to the current random variable.

   other

   The value to be added to this random variable.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

6. def +(other: ContinuousRandomVariable[Domain])(implicit ev: Field[Domain]): ContinuousRandomVariable[Domain]

   

   Return the random variable that results from adding a provided random variable to the current random variable.

   Return the random variable that results from adding a provided random variable to the current random variable.

   other

   The random variable to be added to this.

   Definition Classes

   ContinuousRandomVariable

7. def -(other: Domain)(implicit ev: Field[Domain]): ContinuousRandomVariable[Domain]

   

   Return the random variable that results from subtracting a provided quantity in the Domain from the current random variable.

   Return the random variable that results from subtracting a provided quantity in the Domain from the current random variable.

   other

   The value to be subtracted from this random variable.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

8. def -(other: ContinuousRandomVariable[Domain])(implicit ev: Field[Domain]): ContinuousRandomVariable[Domain]

   

   Return the random variable that results from subtracting a provided random variable from the current random variable.

   Return the random variable that results from subtracting a provided random variable from the current random variable.

   other

   The random variable to be subtracted from this.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

9. def :*[Domain1](other: ContinuousDistrRV[Domain1])(implicit ev: Field[Domain], ev1: Field[Domain1], eq: Eq[Domain], eq1: Eq[Domain1]): ContinuousDistrRV[(Domain, Domain1)]

   

   Definition Classes

   ContinuousDistrRV

10. def :*[OtherDomain, OtherDistr <: ContinuousDistr[OtherDomain]](other: ContinuousRVWithDistr[OtherDomain, OtherDistr]): ContinuousRVWithDistr[(Domain, OtherDomain), ContinuousDistr[(Domain, OtherDomain)]]

    

    Definition Classes

    ContinuousRVWithDistr

11. def :*[Domain1, Dist1 <: Density[Domain1] with Rand[Domain1]](other: RandomVarWithDistr[Domain1, Dist1]): RandomVarWithDistr[(Domain, Domain1), GenericDistribution[(Domain, Domain1)]]

    

    Cartesian product with another random variables which has a defined probability distribution.

    Cartesian product with another random variables which has a defined probability distribution.

    Definition Classes

    RandomVarWithDistr

12. def :*[Domain1](other: RandomVariable[Domain1]): RandomVariable[(Domain, Domain1)]

    

    Outputs the cartesian product between two random variables.

    Outputs the cartesian product between two random variables.

    Domain1

    The domain of the other random variable

    other

    The random variable which forms the second component of the cartesian product.

    Definition Classes

    RandomVariable

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

    

    Definition Classes

    AnyRef → Any

14. def >[OtherDomain](transformation: DataPipe[Domain, OtherDomain]): MeasurableFunction[Domain, OtherDomain, RandomVariable[Domain]]

    

    Transform the current random variable on Domain to a morphed random variable on OtherDomain

    Transform the current random variable on Domain to a morphed random variable on OtherDomain

    Definition Classes

    RandomVariable

15. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

16. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

17. val components: Seq[BaseRV]

    

    Definition Classes

    ContinuousDistrMixture → MixtureRV

18. def draw: Domain

    

    Alias for sample.run()

    Alias for sample.run()

    Definition Classes

    RandomVariable

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

    

    Definition Classes

    AnyRef

20. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

21. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

23. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

24. def iid(n: Int): IIDContinuousRVDistr[Domain, ContinuousDistr[Domain], ContinuousDistrMixture.this.type]

    

    Create an iid random variable from the current (this)

    Create an iid random variable from the current (this)

    n

    The number of iid samples of the base random variable.

    Definition Classes

    ContinuousRVWithDistr → RandomVarWithDistr → RandomVariable

25. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

26. val mixture_selector: MultinomialRV

    

    Definition Classes

    ContinuousDistrMixture → MixtureRV

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

    

    Definition Classes

    AnyRef

28. final def notify(): Unit

    

    Definition Classes

    AnyRef

29. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

30. val sample: DataPipe[Unit, Domain]

    

    Generate a sample from the random variable

    Generate a sample from the random variable

    Definition Classes

    ContinuousRVWithDistr → RandomVariable

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

    

    Definition Classes

    AnyRef

32. def toString(): String

    

    Definition Classes

    AnyRef → Any

33. val underlyingDist: MixtureDistribution[Domain]

    

    The actual probability density function is represented as a breeze Density object.

    The actual probability density function is represented as a breeze Density object.

    Definition Classes

    ContinuousDistrMixture → ContinuousRVWithDistr → RandomVarWithDistr → HasDistribution

34. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )