Lecture
Gibbs measures: Hyperbolic Attractors
Related lectures (31)
Introduction to Quantum Chaos
Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.
Equidistribution of CM Points
Explores the joint equidistribution of CM points and their properties in ergodic theory and homogeneous dynamics.
Probability Theory: Basics
Covers the basics of probability theory, including probability spaces, random variables, and measures.
Quantum Random Number Generation
Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Independence and Products
Covers independence between random variables and product measures in probability theory.
Introduction to Plasma Physics
Introduces the basics of plasma physics, covering collective behavior, Debye length, and plasma conditions.
Random Variables and Expected Value
Introduces random variables, probability distributions, and expected values through practical examples.
Conditional Probability Distributions
Covers conditional probability distributions and introduces the concept of conditional expected value.
Logistic Regression: Probabilistic Interpretation
Covers logistic regression's probabilistic interpretation, multinomial regression, KNN, hyperparameters, and curse of dimensionality.
Probability Theory: Integration and Convergence
Covers topics in probability theory, focusing on uniform integrability and convergence theorems.