mv_pmf.c File Reference

Multivariate probability mass functions. More...

#include <jwsc/config.h>
#include <stdlib.h>
#include <stdio.h>
#include <assert.h>
#include <math.h>
#include <inttypes.h>
#include "jwsc/vector/vector.h"
#include "jwsc/vector/vector_math.h"
#include "jwsc/matrix/matrix.h"
#include "jwsc/matrix/matrix_math.h"
#include "jwsc/prob/pmf.h"
#include "jwsc/prob/mv_pmf.h"

Include dependency graph for mv_pmf.c:

Go to the source code of this file.

Functions
mv_bernoulli_pmf
Computes the multivariate Bernoulli pmf at a point.
void	mv_bernoulli_pmf_f (float *p_out, const Vector_f *mu, const Vector_u32 *x)
	Computes the single precision multivariate Bernoulli pmf at a point.
void	mv_bernoulli_pmf_d (double *p_out, const Vector_d *mu, const Vector_u32 *x)
	Computes the double precision multivariate Bernoulli pmf at a point.
sample_mv_bernoulli_pmf
Draws a random sample from the multivariate Bernoulli pmf.
void	sample_mv_bernoulli_pmf_f (Vector_u32 **x_out, const Vector_f *mu)
	Draws a single precision random sample from the multivariate Bernoulli pmf.
void	sample_mv_bernoulli_pmf_d (Vector_u32 **x_out, const Vector_d *mu)
	Draws a double precision random sample from the multivariate Bernoulli pmf.
set_sample_mv_bernoulli_pmf
Draws a set of random samples from the multivariate Bernoulli pmf.
void	set_sample_mv_bernoulli_pmf_f (Matrix_u32 **x_out, uint32_t N, const Vector_f *mu)
	Draws a set of single precision random samples from the multivariate Bernoulli pmf.
void	set_sample_mv_bernoulli_pmf_d (Matrix_u32 **x_out, uint32_t N, const Vector_d *mu)
	Draws a set of double precision random samples from the multivariate Bernoulli pmf.

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Detailed Description

Multivariate probability mass functions.

Author:

Joseph Schlecht

License:

Creative Commons BY-NC-SA 3.0

Definition in file mv_pmf.c.

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Function Documentation

void mv_bernoulli_pmf_f	(	float *	p_out,
		const Vector_f *	mu,
		const Vector_u32 *	x
	)

Computes the single precision multivariate Bernoulli pmf at a point.

Parameters:

p_out	Result parameter.
mu	Probabilities of success of the multivariate Bernoulli.
x	Value to evaluate the pmf under.

Definition at line 75 of file mv_pmf.c.

void mv_bernoulli_pmf_d	(	double *	p_out,
		const Vector_d *	mu,
		const Vector_u32 *	x
	)

Computes the double precision multivariate Bernoulli pmf at a point.

Parameters:

p_out	Result parameter.
mu	Probabilities of success of the multivariate Bernoulli.
x	Value to evaluate the pmf under.

Definition at line 103 of file mv_pmf.c.

void sample_mv_bernoulli_pmf_f	(	Vector_u32 **	x_out,
		const Vector_f *	mu
	)

Draws a single precision random sample from the multivariate Bernoulli pmf.

Parameters:

x_out	Result paramter. Contains the sample.
mu	Probabilities of success of the Bernoulli.

Note:

Does not seed the rand() function. If this is desired, srand() must be called prior to calling this function.

Definition at line 143 of file mv_pmf.c.

void sample_mv_bernoulli_pmf_d	(	Vector_u32 **	x_out,
		const Vector_d *	mu
	)

Draws a double precision random sample from the multivariate Bernoulli pmf.

Parameters:

x_out	Result paramter. Contains the sample.
mu	Probabilities of success of the Bernoulli.

Note:

Does not seed the rand() function. If this is desired, srand() must be called prior to calling this function.

Definition at line 170 of file mv_pmf.c.

void set_sample_mv_bernoulli_pmf_f	(	Matrix_u32 **	x_out,
		uint32_t	N,
		const Vector_f *	mu
	)

Draws a set of single precision random samples from the multivariate Bernoulli pmf.

Parameters:

x_out	Result paramter. Contains the sample.
N	Number of samples in the set.
mu	Probabilities of success of the Bernoulli.

Note:

Does not seed the rand() function. If this is desired, srand() must be called prior to calling this function.

Definition at line 208 of file mv_pmf.c.

void set_sample_mv_bernoulli_pmf_d	(	Matrix_u32 **	x_out,
		uint32_t	N,
		const Vector_d *	mu
	)

Draws a set of double precision random samples from the multivariate Bernoulli pmf.

Parameters:

x_out	Result paramter. Contains the sample.
N	Number of samples in the set.
mu	Probabilities of success of the Bernoulli.

Note:

Does not seed the rand() function. If this is desired, srand() must be called prior to calling this function.

Definition at line 240 of file mv_pmf.c.