Random Variables and Information Theory Concepts

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Related lectures (28)

Probability Distributions in Environmental Studies

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Independence and Covariance

Explores independence and covariance between random variables, discussing their implications and calculation methods.

Interpretation of Entropy

Explores the concept of entropy expressed in bits and its relation to probability distributions, focusing on information gain and loss in various scenarios.

Central Limit Theorem: Properties and Applications

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Probability and Statistics

Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.

Statistical Theory: Fundamentals

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Mc Diarmid's Inequality

Covers Mc Diarmid's inequality and its applications in probability and martingale theory.

Normal Distribution: Properties and Calculations

Covers the normal distribution, including its properties and calculations.

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