Natural exponential family

Related lectures (31)

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Explores the mathematical reasoning behind the consistency of maximum likelihood estimation.

Explores ancillary statistics, sufficiency, and minimally sufficient statistics in sampling distributions.

Offers a crash course on generative models, covering exponential families, sampling methods, and Metropolis algorithm.

Covers exponential families, model construction, and canonical link functions in Generalized Linear Models.

Explores moment-generating functions, linear combinations, and normality of random variables.

Covers maximum likelihood estimation, including the Rao-Blackwell Theorem proof and practical examples of deriving estimators.

Covers sampling from exponential families, joint distribution, moments, and convergence theorems.

Explores the elimination of nuisance parameters in statistical models using Lemmas 14 and 15.

Explores exponential families, likelihood functions, and model regularity in statistical inference.

Covers the elimination of nuisance parameters in statistical inference using Lemmas 14 and 15.