Module 4:
Conditioning, independence and information

Module 4

What this module is for

Both. This should receive exceptionally extensive practice. Applications include interpreting signals, updating beliefs, and recognising when selection changes the relevant distribution.

Lesson 4.1 · Core

Conditional probability and the chain rule

Depth: Interview mastery

QT/QR relevance: Both; reasoning after information arrives

Lesson 4.2 · Core

Total probability and Bayes’ theorem

Depth: Interview mastery

QT/QR relevance: Both; updating a model using evidence

Lesson 4.3 · Core

Independence, mutual independence and exchangeable symmetry

Depth: Interview mastery

QT/QR relevance: Both; validating factorisations

Lesson 4.4 · Core

Conditional independence

Depth: Interview mastery

QT/QR relevance: Both, especially QR; latent-variable models

Lesson 4.5 · Core

Observation mechanisms and sequential evidence

Depth: Interview mastery

QT/QR relevance: Both; deciding what an observation actually tells you

Assessment

Module 4 assessment

Open assessment · No submitted assessment yet