Currents in the O(n) Model: Conformal Field Theory Insights

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (42)

Continuous Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Unitary Minimal Models: Representation Theory Insights

Covers the representation theory of unitary minimal models and the Virasoro algebra.

Probability and Statistics

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.

Statistics for Data Science: Basics and Modelling

Introduces statistical modelling basics, probability theory, and key concepts for data science applications.

Probabilistic Linear Regression

Explores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.

Percolation Theory

Covers percolation theory, absorbed polymers, giant molecules, phase transition, scaling assumptions, and universal behavior in percolation models.

Understanding Chaos in Quantum Field Theories Log in to Mediaspace to watch this video

Explores chaos in quantum field theories, focusing on conformal symmetry, OPE coefficients, and random matrix universality.

Probability and Statistics Log in to Mediaspace to watch this video

Explores joint random variables, conditional density, and independence in probability and statistics.

Introduction to Inference Log in to Mediaspace to watch this video

Covers the basics of probability theory, random variables, joint probability, and inference.

Elements of Statistics: Probability and Random Variables Log in to Mediaspace to watch this video

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Understanding Vacuum Energy in Inflation Log in to Mediaspace to watch this video

Explores vacuum energy during inflation and the dynamics of scalar and vector fields, emphasizing the importance of seeking clarification and providing details about upcoming exams.

Logistic Regression: Probabilistic Interpretation Log in to Mediaspace to watch this video

Covers logistic regression's probabilistic interpretation, multinomial regression, KNN, hyperparameters, and curse of dimensionality.

Probability Theory: Independence and Conditional Independence Log in to Mediaspace to watch this video

Explores independence and conditional independence in probability theory through mathematical definitions and examples.

Estimating Extreme Quantiles Log in to Mediaspace to watch this video

Covers the estimation of extreme quantiles using empirical quantiles and sample data.

Rolling Motion: Friction and Inclined Planes Log in to Mediaspace to watch this video

Explores the dynamics of a rolling cylinder on inclined planes with and without slipping.

Residue Theorem: Applications in Complex Analysis Log in to Mediaspace to watch this video

Discusses the residue theorem and its applications in calculating complex integrals.

Probability Distributions: Discrete Random Variables Log in to Mediaspace to watch this video

Discusses properties and functions of discrete random variables, including binomial and negative binomial distributions.

Logistic Regression: Cost Functions & Optimization Log in to Mediaspace to watch this video

Explores logistic regression, cost functions, gradient descent, and probability modeling using the logistic sigmoid function.

Estimating R: Moments and Cumulants Log in to Mediaspace to watch this video

Explores the estimation of R using moments and cumulants in extreme value analysis.

Algebraic Structures: Groups and Rings Log in to Mediaspace to watch this video

Introduces algebraic structures essential for understanding mathematical objects used in science and engineering.

Page 2 of 3