Exponential Family Distributions

Related lectures (30)

Page 1 of 3

Covers exponential families and maximum entropy distributions under moment constraints.

Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Covers statistical estimation methods, including maximum likelihood and Bayesian estimation.

Explores Generalized Linear Regression, Classification, confusion matrices, ROC curves, and noise in data.

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Explores completeness, minimal sufficiency, and special statistical models, focusing on exponential and transformation families.

Covers regression with exponential family responses using Generalised Linear Models.

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.