Gaussian

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. final def asInstanceOf[T0]: T0

   

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5. def cdf(x: Double, m: Double, v: Double): Double

   

   Returns the value of cumulative distribution function

   Returns the value of cumulative distribution function

   x

   The cdf function is evaluated at the value of x

   m

   Mean

   v

   Variance

6. def clone(): AnyRef

   

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   protected[java.lang]

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7. implicit val divideOp: divideOp[Gaussian]

   

   Thomas Minka.

   Thomas Minka. EP: A quick reference, 2008

   Definition Classes

   GaussianNumericOps

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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    protected[java.lang]

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

    

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12. def hashCode(): Int

    

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13. def invcdf(x: Double, m: Double, v: Double): Double

    

    Returns the value of inverse cumulative distribution function (quantile function)

    Returns the value of inverse cumulative distribution function (quantile function)

    x

    The cdf function is evaluated at the value of x

    m

    Mean

    v

    Variance

14. implicit val isIdentical: isIdentical[Gaussian]

    

    Definition Classes

    GaussianNumericOps

15. final def isInstanceOf[T0]: Boolean

    

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    Any

16. implicit val multOp: multOp[Gaussian]

    

    P.A.

    P.A. Bromiley. Products and Convolutions of Gaussian Distributions, 2003

    Definition Classes

    GaussianNumericOps

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

    

    Definition Classes

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18. def normConstant(v: Double): Double

    

    Returns the normalisation constant of the Gaussian distribution.

    Returns the normalisation constant of the Gaussian distribution.

    v

    Variance

19. final def notify(): Unit

    

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20. final def notifyAll(): Unit

    

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21. def pdf(x: Double, m: Double, v: Double): Double

    

    Returns the value of probability density function of the normal distribution.

    Returns the value of probability density function of the normal distribution.

    x

    The pdf function is evaluated at the value of x

    m

    Mean

    v

    Variance

22. def projHistogram(values: Seq[Double], probs: Seq[Double]): Gaussian

    

    Projects histogram to Gaussian distribution by matching the mean and variance moments.

23. def stdCdf(x: Double): Double

    

    Returns the value of cumulative distribution function of the standard normal distribution.

24. def stdInvCdf(x: Double): Double

    

    Returns the value of inverse cumulative distribution function of the standard normal distribution.

25. def stdPdf(x: Double): Double

    

    Returns the value of probability density function of the standard normal distribution.

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

    

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27. def toString(): String

    

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28. final def wait(): Unit

    

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

    

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

    

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