What this covers

• MI/transfer entropy features, causal validation, Bayesian conditioning.

Navigation (load on demand)

• docs/knowledge-base/domains/foundations/advanced-mathematics/information-theory.md
• docs/knowledge-base/domains/foundations/advanced-mathematics/causal-inference.md
• docs/knowledge-base/domains/foundations/advanced-mathematics/conditional-probability-and-bayes-theorem.md

Quick workflows

• Feature relevance → MI/TE from information-theory.
• Causal checks (Granger/DAGs/potential outcomes) → causal-inference.
• Bayesian updates → conditional-probability-and-bayes-theorem.

Notes

• Keep context to the specific technique needed.