#include <itpp/itbase.h>
#include "../math/libDC.h"
#include "libBM.h"
#include "../itpp_ext.h"


Go to the source code of this file.
| Classes | |
| class | eEF | 
| General conjugate exponential family posterior density.  More... | |
| class | mEF | 
| Exponential family model.  More... | |
| class | enorm< sq_T > | 
| Gaussian density with positive definite (decomposed) covariance matrix.  More... | |
| class | egiw | 
| Gauss-inverse-Wishart density stored in LD form.  More... | |
| class | egamma | 
| Gamma posterior density.  More... | |
| class | euni | 
| Uniform distributed density on a rectangular support.  More... | |
| class | mlnorm< sq_T > | 
| Normal distributed linear function with linear function of mean value;.  More... | |
| class | mgamma | 
| Gamma random walk.  More... | |
| class | mgamma_fix | 
| Gamma random walk around a fixed point.  More... | |
| class | eEmp | 
| Weighted empirical density.  More... | |
| Enumerations | |
| enum | RESAMPLING_METHOD { MULTINOMIAL = 0, STRATIFIED = 1, SYSTEMATIC = 3 } | 
| Switch between various resampling methods. | |
| Variables | |
| Uniform_RNG | UniRNG | 
| Global Uniform_RNG. | |
| Normal_RNG | NorRNG | 
| Global Normal_RNG. | |
| Gamma_RNG | GamRNG | 
| Global Gamma_RNG. | |
----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty
Using IT++ for numerical operations -----------------------------------
 1.5.6
 1.5.6