Analyses

Analyses

The top-level component analyses contains an array of possible (automated) analyses. To that extent, likelihoods, parameters of interest and the affiliated domains are listed. Description of the components:

• name: long custom string
• likelihood: name as reference to a likelihood defined in the top-level component likelihoods
• parameter_of_interest: (optional) array of names as reference to parameters that are interesting for the analysis at hand
• domain: name of a domain to be used for the parameters, defined in the top-level component domains
• init: (optional) name of an initial value to be used, defined in the top-level component parameter_points
• prior: (optional) name of a prior distribution, defined in the top-level component distributions. This is only used for Bayesian interpretations and should not be confused with auxiliary distributions listed in the likelihood section. The prior could, for example, be a product distribution of all the individual priors. If for any parameter, both a prior and a parameter domain are given, the prior should be truncated to the given parameter domain. Otherwise, implicit flat priors over the given parameter domain are assumed.

All parameters of all distributions in the likelihood must either be listed under the domain referenced, or set to const in the parameter point referenced.

Example: Analyses

"analyses": [ 
  { 
    "name" : "analysis1", 
    "likelihood" : "likelihood1", 
    "aux_likelihood_terms" : ["distribtion_1", "distribution_2", ...] 
    "parameters_of_interest" : ["param1"], 
    "domain" : "domain1" , 
    "init" : "starting_values", 
    "prior" : "prior_dist" 
  }, 
  ... 
]