A distribution is a data structure that holds sufficient informations to describe a probability density function by a set of parameters. More...
Classes | |
| class | edoDistrib< EOT > |
| Base class for distributions. More... | |
| class | edoNormalAdaptive< EOT > |
| A normal distribution that can be updated via several components. More... | |
| class | edoNormalMono< EOT > |
| A normal (Gaussian) distribution that only model variances of variables. More... | |
| class | edoNormalMulti< EOT > |
| A multi-normal distribution, that models co-variances. More... | |
| class | edoUniform< EOT > |
| A uniform distribution. More... | |
Modules | |
| Adaptive normal | |
A multi-variate normal distribution that can be updated via several components. | |
| Normal | |
A normal (Gaussian) distribution that only model variances of variables. | |
| Multivariate normal | |
Distribution that model co-variances between variables. | |
A distribution is a data structure that holds sufficient informations to describe a probability density function by a set of parameters.
It is passed across EDO operators and can be updated or manipulated by them.