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riso.distributions
Class DistributionMin  

java.lang.Object
  riso.distributions.AbstractDistribution
      riso.distributions.DistributionMin

All Implemented Interfaces:

ConditionalDistribution, Distribution, java.io.Serializable

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public class DistributionMin

extends AbstractDistribution

An instance of this class represents the distribution of the minimum of a set of variables with any distributions.

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Field Summary
(package private)  Distribution[]	p           The list of distributions represented by this distribution.

 

Fields inherited from class riso.distributions.AbstractDistribution

associated_variable

 

Constructor Summary

DistributionMin(Distribution[] p)           Constructs a DistributionMin given the specified list of distributions.

 

Method Summary
double	cdf(double x)           Compute cumulative distribution function for this distribution.
java.lang.Object	clone()           Return a shallow copy of this object.
double[]	effective_support(double epsilon)           Returns an interval which contains almost all the mass of this distribution; uses a numerical search.
double	expected_value()           Returns the expected value of this distribution.
java.lang.String	format_string(java.lang.String leading_ws)           Formats a string representation of this distribution.
double	log_prior()           Computes the log of the prior probability of the parameters of this distribution, assuming some prior distribution has been established.
int	ndimensions()           Returns the number of dimensions in which this distribution lives.
double	p(double[] x)           Computes the density at the point x.
void	pretty_input(riso.general.SmarterTokenizer st)           Read an instance of this distribution from an input stream.
double[]	random()           Return an instance of a random variable from this distribution.
double	sqrt_variance()           Returns the square root of the variance of this distribution.
double	update(double[][] x, double[] responsibility, int niter_max, double stopping_criterion)           Use data to modify the parameters of the distribution.

 

Methods inherited from class riso.distributions.AbstractDistribution

get_density, get_nstates, initial_mix, log_p, ndimensions_child, ndimensions_parent, p, parse_string, pretty_output, random, set_variable, toString

 

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

 

Field Detail

p

Distribution[] p

The list of distributions represented by this distribution.

Constructor Detail

DistributionMin

public DistributionMin(Distribution[] p)

Constructs a DistributionMin given the specified list of distributions. p is cloned shallowly.

Method Detail

clone

public java.lang.Object clone()
                       throws java.lang.CloneNotSupportedException

Return a shallow copy of this object. References (not objects) are copied.

Specified by:

clone in interface ConditionalDistribution

Overrides:

clone in class AbstractDistribution

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ndimensions

public int ndimensions()

Returns the number of dimensions in which this distribution lives. Always returns 1.

Specified by:

ndimensions in interface Distribution

Overrides:

ndimensions in class AbstractDistribution

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cdf

public double cdf(double x)
           throws java.lang.Exception

Compute cumulative distribution function for this distribution. This is just the product of the individual complementary cdf's.

Specified by:

cdf in interface Distribution

Overrides:

cdf in class AbstractDistribution

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p

public double p(double[] x)
         throws java.lang.Exception

Computes the density at the point x.

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log_prior

public double log_prior()
                 throws java.lang.Exception

Computes the log of the prior probability of the parameters of this distribution, assuming some prior distribution has been established. This may not be meaningful for all distributions.

Specified by:

log_prior in interface Distribution

Overrides:

log_prior in class AbstractDistribution

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random

public double[] random()
                throws java.lang.Exception

Return an instance of a random variable from this distribution. This method is not implemented.

Specified by:

random in interface Distribution

Overrides:

random in class AbstractDistribution

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update

public double update(double[][] x,
                     double[] responsibility,
                     int niter_max,
                     double stopping_criterion)
              throws java.lang.Exception

Use data to modify the parameters of the distribution. This method is not implemented.

Specified by:

update in interface Distribution

Overrides:

update in class AbstractDistribution

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expected_value

public double expected_value()
                      throws java.lang.Exception

Returns the expected value of this distribution. This method is not implemented.

Specified by:

expected_value in interface Distribution

Overrides:

expected_value in class AbstractDistribution

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sqrt_variance

public double sqrt_variance()
                     throws java.lang.Exception

Returns the square root of the variance of this distribution. This method is not implemented.

Specified by:

sqrt_variance in interface Distribution

Overrides:

sqrt_variance in class AbstractDistribution

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effective_support

public double[] effective_support(double epsilon)
                           throws java.lang.Exception

Returns an interval which contains almost all the mass of this distribution; uses a numerical search.

Specified by:

effective_support in interface Distribution

Overrides:

effective_support in class AbstractDistribution

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format_string

public java.lang.String format_string(java.lang.String leading_ws)
                               throws java.io.IOException

Formats a string representation of this distribution.

Specified by:

format_string in interface ConditionalDistribution

Overrides:

format_string in class AbstractDistribution

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pretty_input

public void pretty_input(riso.general.SmarterTokenizer st)
                  throws java.io.IOException

Read an instance of this distribution from an input stream. This is intended for input from a human-readable source; this is different from object serialization.

Overrides:

pretty_input in class AbstractDistribution

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Overview  Package   Class  Use  Deprecated  Index
Home >> All >> riso >> [ distributions overview ]	PREV CLASS  NEXT CLASS
SUMMARY:  JAVADOC |  SOURCE |  DOWNLOAD | NESTED | FIELD | CONSTR | METHOD	DETAIL: FIELD | CONSTR | METHOD

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