Concept

Informant (statistics)

Related lectures (4)

Delves into score-based generative models, exploring learning natural distributions and the impact of neural network architecture on robustness.

Covers parameter estimation, Fisher information, unbiased estimator, and exponential distributions.

Covers regression with exponential family responses using Generalised Linear Models.

Explains Fisher information, Cramér-Rao inequality, and MLE properties, including invariance and asymptotics.