Exponential Family Models: Statistical Inference

Related lectures (30)

Page 3 of 3

Delves into the duality between confidence intervals and hypothesis tests, emphasizing the importance of precision and accuracy in estimation.

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

Covers the statistical distribution in canonical and grand-canonical ensembles, focusing on the bathed system.

Covers elementary distributions like Bernoulli, Binomial, Geometric, Negative Binomial, Poisson, and Multinomial.

Introduces weighted mean calculation and radioactive decay concept with probability estimation.

Covers the probabilistic model for linear regression and its applications in nuclear magnetic resonance and X-ray imaging.

Covers statistical concepts like probability, estimation, hypothesis testing, and confidence intervals for mathematicians.

Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Covers the calculation of internal energy and specific heat for gases, electrons, phonons, and photons.