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MultivariateDiscreteDistribution Class |
Abstract class for multivariate discrete probability distributions.
Inheritance HierarchySystemObject
Accord.Statistics.DistributionsDistributionBase
Accord.Statistics.Distributions.MultivariateMultivariateDiscreteDistribution
Accord.Statistics.Distributions.MultivariateHiddenMarkovDistribution
Accord.Statistics.Distributions.MultivariateJointDistribution
Accord.Statistics.Distributions.MultivariateMultinomialDistribution
Accord.Statistics.DistributionsDistributionBase
Accord.Statistics.Distributions.MultivariateMultivariateDiscreteDistribution
Accord.Statistics.Distributions.MultivariateHiddenMarkovDistribution
Accord.Statistics.Distributions.MultivariateJointDistribution
Accord.Statistics.Distributions.MultivariateMultinomialDistribution
Namespace: Accord.Statistics.Distributions.Multivariate
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax[SerializableAttribute] public abstract class MultivariateDiscreteDistribution : DistributionBase, IMultivariateDistribution, IDistribution, ICloneable, IMultivariateDistribution<int[]>, IDistribution<int[]>, IMultivariateDistribution<double[]>, IDistribution<double[]>, ISampleableDistribution<int[]>, IRandomNumberGenerator<int[]>, ISampleableDistribution<double[]>, IRandomNumberGenerator<double[]>, IFormattable
The MultivariateDiscreteDistribution type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | MultivariateDiscreteDistribution |
Constructs a new MultivariateDiscreteDistribution class.
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Properties| Name | Description | |
|---|---|---|
 | Covariance |
Gets the variance for this distribution.
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| Dimension |
Gets the number of variables for this distribution.
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| Mean |
Gets the mean for this distribution.
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| Median |
Gets the median for this distribution.
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| Mode |
Gets the mode for this distribution.
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| Support |
Gets the support interval for this distribution.
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| Variance |
Gets the mean for this distribution.
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Methods| Name | Description | |
|---|---|---|
 | Clone |
Creates a new object that is a copy of the current instance.
(Inherited from DistributionBase.) |
| ComplementaryDistributionFunction |
Gets the complementary cumulative distribution function
(ccdf) for this distribution evaluated at point x.
This function is also known as the Survival function.
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| DistributionFunction |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
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| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| Fit(Double) |
Fits the underlying distribution to a given set of observations.
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| Fit(Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
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| Fit(Double, Double) |
Fits the underlying distribution to a given set of observations.
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| Fit(Double, Int32) |
Fits the underlying distribution to a given set of observations.
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| Fit(Double, Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
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| Fit(Double, Int32, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
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| Generate |
Generates a random observation from the current distribution.
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| Generate(Double) |
Generates a random observation from the current distribution.
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| Generate(Int32) |
Generates a random vector of observations from the current distribution.
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| Generate(Int32) |
Generates a random observation from the current distribution.
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| Generate(Random) |
Generates a random observation from the current distribution.
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| Generate(Double, Random) |
Generates a random observation from the current distribution.
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| Generate(Int32, Double) |
Generates a random vector of observations from the current distribution.
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| Generate(Int32, Int32) |
Generates a random vector of observations from the current distribution.
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| Generate(Int32, Random) |
Generates a random vector of observations from the current distribution.
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| Generate(Int32, Random) |
Generates a random observation from the current distribution.
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| Generate(Int32, Double, Random) |
Generates a random vector of observations from the current distribution.
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| Generate(Int32, Int32, Random) |
Generates a random vector of observations from the current distribution.
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| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| InnerComplementaryDistributionFunction |
Gets the complementary cumulative distribution function
(ccdf) for this distribution evaluated at point x.
This function is also known as the Survival function.
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| InnerDistributionFunction |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
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| InnerInverseDistributionFunction |
Not supported.
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| InnerLogProbabilityMassFunction |
Gets the log-probability mass function (pmf) for
this distribution evaluated at point x.
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| InnerProbabilityMassFunction |
Gets the probability mass function (pmf) for
this distribution evaluated at point x.
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| InverseDistributionFunction |
Not supported.
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| LogProbabilityMassFunction |
Gets the log-probability mass function (pmf) for
this distribution evaluated at point x.
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| MarginalDistributionFunction(Int32) |
Gets the marginal distribution of a given variable.
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| MarginalDistributionFunction(Int32, Int32) |
Gets the marginal distribution of a given variable evaluated at a given value.
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| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| ProbabilityMassFunction |
Gets the probability mass function (pmf) for
this distribution evaluated at point x.
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| ToString |
Returns a String that represents this instance.
(Inherited from DistributionBase.) |
| ToString(IFormatProvider) |
Returns a String that represents this instance.
(Inherited from DistributionBase.) |
| ToString(String) |
Returns a String that represents this instance.
(Inherited from DistributionBase.) |
| ToString(String, IFormatProvider) |
Returns a String that represents this instance.
(Inherited from DistributionBase.) |
Extension Methods| Name | Description | |
|---|---|---|
 | HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) |
| IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) |
| To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
| ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
RemarksA probability distribution identifies either the probability of each value of an unidentified random variable (when the variable is discrete), or the probability of the value falling within a particular interval (when the variable is continuous).
The probability distribution describes the range of possible values that a random variable can attain and the probability that the value of the random variable is within any (measurable) subset of that range.
The function describing the probability that a given discrete value will occur is called the probability function (or probability mass function, abbreviated PMF), and the function describing the cumulative probability that a given value or any value smaller than it will occur is called the distribution function (or cumulative distribution function, abbreviated CDF).
References:
See Also