Property Testing

Related lectures (30)

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Covers the estimation of distributions using samples and probability models.

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

Covers moments, variance, and expected values in probability and statistics, including the distribution of tokens in a product.

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Covers the estimation of distributions using various methods such as minimum loss and expectation.

Covers properties and calculations related to the normal distribution, including probabilities and quantiles.

Explores different modes of convergence for random variables.

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.