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Related lectures (32)
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Boolean Hidden Matching Problem
Covers the Boolean Hidden Matching Problem and its applications to lower bounds.
Continuous Random Variables: Distributions and Examples
Explores continuous random variables, density functions, and distribution laws with practical examples.
Probability Distributions in Environmental Studies
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.
Expectation Values: Understanding Probability Distribution Functions
Explains how to calculate expectation values for random variables using examples like a dice game.
Complement: Some examples of cdfs
Covers examples of cumulative distribution functions for continuous random variables and correlations between random variables.
Probabilités discrètes
Covers the basics of discrete probability, including notations, axioms, pmf, examples, expectation, variance, and indicator variables.
Hypothesis Testing in Statistics
Explores hypothesis testing in statistics, focusing on decision-making based on sample data and controlling error probabilities.
Probability Laws: Random Variables
Covers the definition of probability laws for random variables and examples of discrete and continuous variables.
Conditional Expectation: Definition
Explains conditional expectation, conditioning events, probabilities calculation, and examples with dice and random variables.
Conditional Expectation: Basics
Introduces the basics of conditional expectation, covering definitions, properties, and examples in the context of random variables.
Probability and Stochastic Processes: Fundamentals and Applications
Discusses the fundamentals of probability and stochastic processes, focusing on random variables, their properties, and applications in statistical signal processing.
Introduction to Continuous Random Variables: Probability Distributions
Introduces continuous random variables and their probability distributions, emphasizing their applications in statistics and data science.
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