Class

io.github.mandar2812.dynaml.probability

ContinuousRandomVariable

Related Doc: package probability

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abstract class ContinuousRandomVariable[Domain] extends RandomVariable[Domain]

Random variable defined over a continuous domain.

Domain

The domain over which the random variable takes values.

Self Type
ContinuousRandomVariable[Domain]
Linear Supertypes
RandomVariable[Domain], Serializable, Serializable, AnyRef, Any
Known Subclasses
AbstractGaussianRV, AbstractStudentsTRandVar, BlockedMESNRV, ContinuousDistrMixture, ContinuousDistrRV, ContinuousMeasurableFunc, ContinuousMixtureRV, ContinuousRVWithDistr, EncodedContDistrRV, GaussianRV, MatrixNormalRV, MatrixTRV, MeasurableDistrRV, MultGaussianPRV, MultGaussianRV, MultStudentsTPRV, MultStudentsTRV, StudentsTRV, UniformRV
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Inherited
  1. ContinuousRandomVariable
  2. RandomVariable
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ContinuousRandomVariable()

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Abstract Value Members

  1. abstract val sample: DataPipe[Unit, Domain]

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    Generate a sample from the random variable

    Generate a sample from the random variable

    Definition Classes
    RandomVariable

Concrete Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    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.

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

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    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.

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

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    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.

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

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    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.

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

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    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.

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

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    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.

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

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    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

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

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    Definition Classes
    AnyRef → Any

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

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    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

  12. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  13. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  14. def draw: Domain

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    Alias for sample.run()

    Alias for sample.run()

    Definition Classes
    RandomVariable

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

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    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  17. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  19. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  20. def iid(n: Int): IIDRandomVariable[Domain, RandomVariable[Domain]]

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    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
    RandomVariable

  21. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  23. final def notify(): Unit

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    Definition Classes
    AnyRef

  24. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef

  26. def toString(): String

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    Definition Classes
    AnyRef → Any

  27. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RandomVariable[Domain]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped