Hierarchical Bayesian (Psi)
Usage
e["Problem"]["Type"] = "Hierarchical/Psi"
Variable-Specific Settings
These are settings required by this module that are added to each of the experiment’s variables when this module is selected.
- Prior Distribution
Usage: e[“Variables”][index][“Prior Distribution”] = string
Description: Determines the name of the distribution to use as prior distribution…
- Distribution Index
Usage: e[“Variables”][index][“Distribution Index”] = unsigned integer
Description: Determines the index number of the selected prior distribution
- Name
Usage: e[“Variables”][index][“Name”] = string
Description: Defines the name of the variable.
Configuration
These are settings required by this module.
- Sub Experiments
Usage: e[“Problem”][“Sub Experiments”] = List of knlohmann::json
Description: Provides results from previous Bayesian Inference sampling experiments.
- Conditional Priors
Usage: e[“Problem”][“Conditional Priors”] = List of string
Description: List of conditional priors to use in the hierarchical problem.
Variable Defaults
These following configuration will be assigned to each of the experiment variables by default. Any settings defined by the user will override the given settings specified in these defaults.
{ "Distribution Index": 0 }