Gaussian

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def *(linearGaussian: LinearGaussian): MultivariateGaussian

   

4. def *(x: Double): Gaussian

   

5. def *(that: Gaussian)(implicit multOp: multOp[Gaussian]): Gaussian

   

   Definition Classes

   NumericOps

6. def +(gaussian: Gaussian): Gaussian

   

   P.A.

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

7. def +(x: Double): Gaussian

   

8. def -(gaussian: Gaussian): Gaussian

   

   http://mathworld.wolfram.com/NormalDifferenceDistribution.html

9. def -(x: Double): Gaussian

   

10. def /(that: Gaussian)(implicit divideOp: divideOp[Gaussian]): Gaussian

    

    Definition Classes

    NumericOps

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

    

    Definition Classes

    AnyRef → Any

12. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

13. def cdf(x: Double): Double

    

14. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

15. def derivativeM(x: Double): Double

    

    Returns the derivative value of Gaussian with respect to mean, evaluated at the value of x.

16. def derivativeV(x: Double): Double

    

    Returns the derivative value of Gaussian with respect to variance, evaluated at the value of x.

17. def draw(): Double

    

18. def draw(randSeed: Int): Double

    

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

    

    Definition Classes

    AnyRef

20. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

22. def invcdf(x: Double): Double

    

23. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

24. val m: Double

    

    Mean

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

    

    Definition Classes

    AnyRef

26. final def notify(): Unit

    

    Definition Classes

    AnyRef

27. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

28. def pdf(x: Double): Double

    

29. def productXY(gaussian: Gaussian): Gaussian

    

    Gaussian distribution of Z = XY, where X and Y are independent normal random variables http://www.discuss.wmie.uz.zgora.pl/php/discuss3.php?ip=&url=pdf&nIdA=24307&nIdSesji=-1

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

    

    Definition Classes

    AnyRef

31. def toCanonical(): DenseCanonicalGaussian

    

    Converts Gaussian to Canonical Gaussian.

32. def truncate(x: Double, upperTail: Boolean): Gaussian

    

    Returns upper/lower tail gaussian truncation.

    Returns upper/lower tail gaussian truncation. http://en.wikipedia.org/wiki/Truncated_normal_distribution

    x

    The value, at which gaussian is truncated

    upperTail

    If true then upper tail truncation is returned, otherwise the lower tail is returned

33. val v: Double

    

    Variance

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( ... )