Central MVNDistribution
open class CentralMVNDistribution(covariances: Array<DoubleArray>, stream: RNStreamIfc = KSLRandom.nextRNStream()) : MVCDF
Represents a multi-variate normal distribution with means = 0.0 and the provided covariances. The computed CDF values are to about 2 decimal places using Monte-Carlo integration. There are more efficient and accurate methods to do this computation than done here.
Parameters
covariances
the variance-covariance matrix, must not be null, must be square and positive definite
stream
the stream for the sampler
Inheritors
Properties
Functions
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The probability from -infinity to the upper limit, with the upper limit being the same for all dimensions
Evaluation of the integral. Accuracy should be about 7 decimal places
Computes the CDF over the rectangular region
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The upper limit will be Double.POSITIVE_INFINITY
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The lower limit will be Double.NEGATIVE_INFINITY