# work/git/mixpp/bdm/stat/libEF.h File Reference

Probability distributions for Exponential Family models. More...

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

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## Classes
class | eEF
| General conjugate exponential family posterior density. More...
class | mEF
| Exponential family model. More...
class | BMEF
| Estimator for Exponential family. 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 | eDirich
| Dirichlet posterior density. More...
class | multiBM
| Estimator for Multinomial density. 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 | mlstudent
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.
## Functions
template<class sq_T>
std::ostream & | operator<< (std::ostream &os, mlnorm< sq_T > &ml)
## Variables
Uniform_RNG | UniRNG
| Global Uniform_RNG.
Normal_RNG | NorRNG
| Global Normal_RNG.
Gamma_RNG | GamRNG
| Global Gamma_RNG.

## Detailed Description

Probability distributions for Exponential Family models.

Author:
  Vaclav Smidl.

----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty

Using IT++ for numerical operations -----------------------------------