Prerequisite chain
Prerequisites for Weighted Conformal Prediction Under Covariate Shift
Topics you need before working through Weighted Conformal Prediction Under Covariate Shift. Direct prerequisites are listed first; transitive prerequisites (the chain reachable through them) follow.
Direct prerequisites (4)
- Split Conformal Predictionlayer 2, tier 1
- Radon-Nikodym and Conditional Expectationlayer 0B, tier 1
- Importance Samplinglayer 2, tier 1
- Causal Inference Basicslayer 3, tier 3
Reachable through the chain (13)
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.
- Order Statisticslayer 1, tier 2
- Common Probability Distributionslayer 0A, tier 1
- Sets, Functions, and Relationslayer 0A, tier 1
- Basic Logic and Proof Techniqueslayer 0A, tier 2
- Hypothesis Testing for MLlayer 2, tier 2
- Cross-Validation Theorylayer 2, tier 2
- Empirical Risk Minimizationlayer 2, tier 1
- Concentration Inequalitieslayer 1, tier 1
- Expectation, Variance, Covariance, and Momentslayer 0A, tier 1
- Random Variableslayer 0A, tier 1
- Kolmogorov Probability Axiomslayer 0A, tier 1
- Bias-Variance Tradeofflayer 2, tier 2
- Measure-Theoretic Probabilitylayer 0B, tier 1