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.