Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## de.jstacs.utils
Class StationaryDistribution

    java.lang.Object
      de.jstacs.utils.StationaryDistribution

    public class StationaryDistribution

extends Object

This class can be used to determine the stationary distribution.

Author:
  Jens Keilwagen

Constructor Summary
`StationaryDistribution()`

Method Summary
`static double[][][]` | `getAllConditionalStationaryDistributions(double[] probs, int alphabetSize)` This method returns the conditional stationary distributions, i.e. for a homogeneous Markov model of order 2 it returns an array containing the stationary symbol distribution as first entry, the conditional stationary distribution of order 1 as second entry and the conditional distribution of order 2 as third entry.
`static double[]` | `getStationaryDistribution(double[] condProbs, int alphabetSize)` This method return the stationary distribution.

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### StationaryDistribution

    public StationaryDistribution()

Method Detail

### getStationaryDistribution

    public static double[] getStationaryDistribution(double[] condProbs,
                                                     int alphabetSize)

  This method return the stationary distribution. This distribution can be defined over a single symbol, pairs of symbols, ...

  Parameters:
    `condProbs` - an array containing all conditional probabilities;
    - `condProbs[0] = P(a_1|b_1)`
    - `condProbs[1] = P(a_2|b_1)`
    - ...
    `alphabetSize` - the number of symbols in the alphabet
  Returns:
    the stationary distribution

### getAllConditionalStationaryDistributions

    public static double[][][] getAllConditionalStationaryDistributions(double[] probs,
                                                                        int alphabetSize)

  This method returns the conditional stationary distributions, i.e. for a homogeneous Markov model of order 2 it returns an array containing the stationary symbol distribution as first entry, the conditional stationary distribution of order 1 as second entry and the conditional distribution of order 2 as third entry.

  Parameters:
    `probs` - an array containing all (unconditional) probabilities
    `alphabetSize` - the number of symbols in the alphabet
  Returns:
    the conditional stationary distribution
  See Also:
    `getStationaryDistribution(double[], int)`

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD