Hierarchical Bayesian (Psi)


e["Problem"]["Type"] = "Hierarchical/Psi"

Compatible Solvers

This problem can be solved using the following modules:

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

  • Usage: e[“Variables”][index][“Name”] = string

  • Description: Defines the name of the variable.


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