gaussian (normal) prior More...
#include <prior.h>
Inheritance diagram for GaussPrior:
Public Member Functions | |
| GaussPrior (double mean, double sd) | |
| initialize prior to have mean mean and standard deviation sd | |
| GaussPrior (const GaussPrior &original) | |
| copy contructor | |
| double | pdf (double x) const |
| return pdf of the prior at position x | |
| double | dpdf (double x) |
| return derivative of the prior at position x | |
| double | rand (void) |
| draw a random number | |
| PsiPrior * | clone (void) const |
| clone by value | |
| double | mean (void) const |
| mean | |
| double | std (void) const |
| return standard deviation | |
| void | shrink (double xmin, double xmax) |
| shrink the prior if it is broader than the range between xmin and xmax | |
| int | get_code (void) const |
| return the typcode of this prior | |
| double | cdf (double x) const |
| return the typcode of this prior | |
| double | getprm (unsigned int prm) const |
| double | ppf (double p, double start=NULL) const |
Detailed Description
gaussian (normal) prior
This defines a gaussian prior on the entire real axis. It's pdf is defined by the normal
![\[ f(x) = \frac{1}{\sqrt{2 \pi}\sigma} \exp \left( - \frac{(x-\mu)^2}{2\sigma^2} \right). \]](form_2.png)
The documentation for this class was generated from the following files:
- src/prior.h
- src/prior.cc
Generated on Mon Jul 4 2011 14:52:04 for Psi++ by
1.7.1