Explores the Eigenstate Thermalization Hypothesis in quantum systems, emphasizing the random matrix theory and the behavior of observables in thermal equilibrium.
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Explores completeness, minimal sufficiency, and special statistical models, focusing on exponential and transformation families.
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
