Probability Tables Elicitor
Update Pending — This page is being revised for BayesiaLab 11.9. Probability Tables Elicitor replaces Root Priors Elicitor and extends elicitation to nodes with parents. Detailed instructions and screenshots await revision.
Overview
Probability Tables Elicitor assesses a node’s probability distribution for each relevant combination of parent states. For a root node, it assesses the marginal distribution. In BayesiaLab 11.9, it replaces Root Priors Elicitor and extends elicitation beyond nodes with no parents.
See Redesigned Hellixia Elicitation Tools for the current release’s scope and an illustrated conditional-probability-table example.
Earlier root-prior workflow (before BayesiaLab 11.9)
Earlier Overview
The Root Priors Elicitor estimates starting probabilities for root nodes, the nodes that have no causes of their own, so they hold sensible baseline values before any evidence is entered. It returns prior probability distributions and elicitation comments.
Use it for initial quantification, root-node priors, and expert review before inference.
Root-Prior Elicitation
The Root Priors Elicitor is the module within Hellixia that assesses the prior (marginal) probability distributions of nodes before considering parent effects. The LLM produces initial estimates that a domain expert can then review and adjust, reducing the “blank‑page” effort.
Root Nodes
For a root node, which has no parents, its entire Conditional Probability Table is simply its marginal distribution. So the Root Priors Elicitor directly gives you the root node’s probability vector. It is usually invoked before you move to Local‑Effects elicitation for child nodes.