Lectures related to Fiducial inference

Covers inference problems related to the Spin Glass Game and the challenges of making mistakes with preb P.

Covers nonparametric statistics, kernel density estimation, Bayesian principles, and posterior distribution summarization.

Explores non-parametric statistics, Bayesian methods, and linear regression with a focus on kernel density estimation and posterior distribution.

Explores pivotal quantities in statistics and their role in constructing confidence intervals and hypothesis tests.

Explores hypothesis testing using Wilks' Theorem, likelihood ratio statistics, p-values, interval estimation, and confidence regions.

Explores hypothesis testing, Wilks' theorem, p-values, confidence intervals, and pivotal quantities.