Prerequisite chain

Prerequisites for Adaptive Learning Is Not IID

Topics you need before working through Adaptive Learning Is Not IID. Direct prerequisites are listed first; transitive prerequisites (the chain reachable through them) follow.

Direct prerequisites (4)

Random Variableslayer 0A, tier 1
Radon-Nikodym and Conditional Expectationlayer 0B, tier 1
Martingale Theorylayer 0B, tier 2
Concentration Inequalitieslayer 1, tier 1

Reachable through the chain (6)

These topics are not directly cited as prerequisites but are reached transitively by following the chain upward. Working through the direct prerequisites pulls these in.

Kolmogorov Probability Axiomslayer 0A, tier 1
Sets, Functions, and Relationslayer 0A, tier 1
Basic Logic and Proof Techniqueslayer 0A, tier 2
Measure-Theoretic Probabilitylayer 0B, tier 1
Common Probability Distributionslayer 0A, tier 1
Expectation, Variance, Covariance, and Momentslayer 0A, tier 1