Learning

Exponential Families and Sufficient Statistics

Probability Foundations → Applications in Inference

A graduate-level path covering the mathematical structure of exponential families, their natural parameterization, and their connection to sufficient statistics via the Neyman-Fisher factorization theorem. Learners will develop a rigorous understanding of these concepts and their role in statistical inference.