Body of Knowledge

Data Science Foundations

Representations of a distribution
Marginalization
Conditioning
Normal distribution
Quadratic-normal distribution
Notable multivariate distributions
Elliptical distributions
Scenario-probability distributions
Exponential family distributions
Mixture distributions
Univariate results
Definition and properties of copulas
Special classes of copulas
Implementation
Expectation and variance
Expectation and covariance
L2 geometry
Factor models and learning
Overview
Regression LFM's
Principal component LFM's
Factor-analysis LFM's
Cross-sectional LFM's
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