Parameters for a univariate Gaussian Mixture Model with Normal-Inverse-Gamma conjugate priors.
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#include <GaussianMixtureModel-params.hpp>
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| double | m0 |
| | Prior mean for the Gaussian component mean.
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| double | kappa0 |
| | Prior strength for the Gaussian component mean.
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| double | alpha0 |
| | Shape parameter of the Inverse-Gamma prior for variance.
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| double | beta0 |
| | Scale parameter of the Inverse-Gamma prior for variance.
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Parameters for a univariate Gaussian Mixture Model with Normal-Inverse-Gamma conjugate priors.
◆ GaussianMixtureModel_params()
| GaussianMixtureModel_params::GaussianMixtureModel_params |
( |
double | m0, |
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double | kappa0, |
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double | alpha0, |
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double | beta0 ) |
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inline |
Constructor for GaussianMixtureModel_params.
- Parameters
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| m0 | Prior mean |
| kappa0 | Prior strength for mean |
| alpha0 | Shape for variance prior |
| beta0 | Scale for variance prior |
◆ alpha0
| double GaussianMixtureModel_params::alpha0 |
Shape parameter of the Inverse-Gamma prior for variance.
◆ beta0
| double GaussianMixtureModel_params::beta0 |
Scale parameter of the Inverse-Gamma prior for variance.
◆ kappa0
| double GaussianMixtureModel_params::kappa0 |
Prior strength for the Gaussian component mean.
◆ m0
| double GaussianMixtureModel_params::m0 |
Prior mean for the Gaussian component mean.
The documentation for this struct was generated from the following file: