Modelling

Purpose

Describe model classes, inference contracts, diagnostics, and decision-layer semantics for DSAMbayes.

Audience

  • Practitioners building and interpreting DSAMbayes models.
  • Reviewers validating modelling assumptions and outputs.

Pages

Page Topic
Model Classes BLM, hierarchical, and pooled class constructors, fit support, and limitations
Model Object Lifecycle State transitions from construction through fitting to post-fit extraction
Priors and Boundaries Prior schema, defaults, overrides, boundary controls, and scale semantics
Minimal-Prior Policy Governance guidance for prior specification in MMM
Response Scale Semantics Identity vs log response, KPI-scale conversion, Jensen-safe reporting
Diagnostics Gates Policy modes, threshold tables, identifiability gate, and remediation actions
CRE / Mundlak Correlated random effects for hierarchical models
Time Components Managed holiday feature generation and weekly anchoring
Budget Optimisation Decision-layer budget allocation, objectives, risk scoring, and response transforms