Covers t-tests, p-values calculation, and comparison of coefficients.
Covers the construction of confidence intervals for a normal distribution with unknown mean and variance.
Explores extremal limit theorems, Gaussian processes, and modeling rare events in spatial problems and time series.
Explores correlation limitations, probability, random variables, and statistical inference using a ball-drawing example.
Explores the Eigenstate Thermalization Hypothesis in quantum systems, emphasizing the random matrix theory and the behavior of observables in thermal equilibrium.
Covers the fundamentals of detection and estimation theory, focusing on mean-squared error and hypothesis testing.
Covers the properties of the exponential family and the estimation of parameters.
