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noparama
v0.0.1
Nonparametric Bayesian models
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#include <Eigen/Dense>#include <map>

Go to the source code of this file.
Classes | |
| class | Suffies |
| class | Suffies_Gamma |
| class | Suffies_NormalInvWishart |
| class | Suffies_InvWishart |
| class | Suffies_NormalInvGamma |
| class | Suffies_Normal |
| class | Suffies_Double |
| class | Suffies_Unity_MultivariateNormal |
| class | Suffies_ZeroCentered_MultivariateNormal |
| class | Suffies_MultivariateNormal |
| class | Suffies_ScalarNoise_MultivariateNormal |
| class | Suffies_Dirichlet |
| enum distribution_type_t |
The type of distribution ranges from a standard Normal to a Dirichlet distribution that can be used for nonparametric Bayesian models.
| Enumerator | |
|---|---|
| Gamma | |
| Normal | |
| Unity_Normal | |
| MultivariateNormal | |
| Unity_MultivariateNormal | |
| ZeroCentered_MultivariateNormal | |
| ScalarNoise_MultivariateNormal | |
| NormalInvWishart | |
| InvWishart | |
| NormalInvGamma | |
| Dirichlet | |
1.8.13