Probability and Statistics

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Related lectures (30)

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Linear Combinations: Moment-Generating Functions

Explores moment-generating functions, linear combinations, and normality of random variables.

Random Variables: Expectation and Independence

Explores random variables, expectation, and independence in probability theory.

Introduction to Continuous Random Variables: Probability Distributions

Introduces continuous random variables and their probability distributions, emphasizing their applications in statistics and data science.

Probability and Statistics

Covers probability distributions, moments, and continuous random variables.

Continuous Random Variables

Covers continuous random variables, probability density functions, and distributions, with practical examples.

Continuous Random Variables: Basic Ideas

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

Calculations of Expectation

Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.

Continuous Random Variables: Distributions and Examples

Explores continuous random variables, density functions, and distribution laws with practical examples.

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 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.