Concept
Empirical probability
Related lectures (45)
The Law of Large Numbers: Proof and Applications
Explores the proof and applications of the law of large numbers, emphasizing convergence of the empirical distribution.
Genetic Inheritance: Phenotype and Probability
Explores genetic inheritance, focusing on phenotype expression and probability calculations in red hair inheritance.
Statistics: Laws of Large Numbers
Explores fundamental theorems in statistics, including laws of large numbers and the central limit theorem.
Large Deviations: Theory and Applications
Delves into large deviations in statistical mechanics, exploring Kramer's theorem, Varadhan's lemma, and Laplace's method.
Probability Theory: Midterm Solutions
Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.
Generative Models: Logistic Regression & Gaussian Distribution
Explores generative models, logistic regression, and Gaussian distribution for approximating posterior probabilities and optimizing model performance.
Multi-arm bandits: Distribution Estimation
Covers multi-arm bandits and distribution estimation, emphasizing the importance of robust estimators.
Advanced Probabilities: Random Variables & Expected Values
Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.
Continuous Random Variables: Basic Ideas
Explores continuous random variables and their properties, including support and cumulative distribution functions.
Probability and Statistics
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.