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Distribution of the product of two random variables
Formal sciences
Statistics
Statistical inference
Mathematical statistics
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Related lectures (32)
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Independence and Covariance
Explores independence and covariance between random variables, discussing their implications and calculation methods.
Von Neumann Extractor: Extensions
Covers the von Neumann Extractor, its extensions, extraction rules, uniformity proofs, and exchangeability of sequences.
Stochastic Models for Communications
Explores mean, variance, probability functions, inequalities, and various types of random variables, including Binomial, Geometric, Poisson, and Gaussian distributions.
Probability Distributions: Basics and Properties
Covers the basics of probability distributions, including mean, variance, and properties of random variables.
Central Limit Theorem: Properties and Applications
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Continuous Random Variables
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Probability and Statistics
Covers probability distributions, moments, and continuous random variables.
Large Deviations Principle: Cramer's Theorem
Covers Cramer's theorem and Hoeffding's inequality in the context of the large deviations principle.
Probability and Statistics
Explores joint random variables, conditional density, and independence in probability and statistics.
Calculations of Expectation
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.