Markov's inequality

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Related lectures (18)

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Inequalities: Cauchy-Schwarz, Jensen, Chebyshev

Explores inequalities for random variables, including Cauchy-Schwarz, Jensen, and Chebyshev.

Concentration Inequalities: Hoeffding's Inequality

Covers Hoeffding's inequality and concentration inequalities with a focus on sequences of random variables.

Hoeffding's Inequality

Explores Hoeffding's inequality and its applications in probability theory and statistical analysis.

Advanced Probability

Covers advanced topics in probability theory, focusing on geometric distribution and variance calculations.

Optimal Power Flow and Chebyshev Introduction

Covers Optimal Power Flow solutions, SDP, Chebyshev's inequality, and probability distributions.

Convergence of Random Variables: Definitions and Connections

Covers the definitions and relationships of convergence for random variables, including quadratic convergence, convergence in probability, and almost sure convergence.

Convergence in Probability

Explores convergence in probability, concentration inequalities, laws of large numbers, and properties of distributions.

Law of Large Numbers: Statistics

Explains the Law of Large Numbers and its application to random variables.