javaslam.prob
Class Sample

java.lang.Object
  |
  +--javaslam.prob.Sample

public class Sample

extends Object

A utility class containing methods for sampling from various probability distributions. The implementations used here are borrowed directly from Tom Minka's Lightspeed library for Matlab.

This class records counts of all floating point operations using Flops.count(long).

Field Summary

static double

DBL_EPSILON Analogous to eps in Matlab.

Constructor Summary

Sample()

Method Summary

static double	beta(double a, double b, Random r) Returns a sample from Beta(a, b).
static int	binomial(int n, double p, Random r) Returns a sample from Binomial(n, p).
static double	gamma(double a, Random r) Samples from the Gamma(a) distribution.

Methods inherited from class java.lang.Object

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

Field Detail

DBL_EPSILON

public static final double DBL_EPSILON

Analogous to eps in Matlab.

See Also:

Constant Field Values

Constructor Detail

Sample

public Sample()

Method Detail

gamma

public static double gamma(double a,
                           Random r)

Samples from the Gamma(a) distribution. This implementation is from BUGS.

beta

public static double beta(double a,
                          double b,
                          Random r)

Returns a sample from Beta(a, b).

binomial

public static int binomial(int n,
                           double p,
                           Random r)

Returns a sample from Binomial(n, p).