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The Marriage Problem
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Related lectures (29)
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Probability and Statistics: Independence and Conditional Probability
Explores independence and conditional probability in probability and statistics, with examples illustrating the concepts and practical applications.
Probability and Statistics
Covers probability, statistics, independence, covariance, correlation, and random variables.
Confidence Intervals and Hypothesis Testing
Explores confidence intervals, hypothesis testing, and decision-making using test statistics and p-values.
Statistics: Exploratory Data Analysis
Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.
Stochastic Calculus: Lecture 1
Covers the essentials of probability, algebras, and conditional probability, including the Borel o-algebra and Poisson processes.
Probability and Statistics: Fundamentals
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Introduction to Inference
Covers the basics of probability theory, random variables, joint probability, and inference.
Statistical Analysis: Boxplot and Normal Distribution
Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.
Probability and Statistics
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
