Hierarchical Bayesian (Theta New)

Usage

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

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

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

  • Description: Defines the name of the variable.

Configuration

These are settings required by this module.

Psi Experiment
  • Usage: e[“Problem”][“Psi Experiment”] = knlohmann::json

  • Description: Results from the hierarchical Psi experiment.

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
}