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Advanced Probability
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Related lectures (28)
Advanced Probability: Examples
Covers the Geometric Distribution, biased coins, expected number of flips, and generating random numbers.
Normal Distribution: Properties and Calculations
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Covers the normal distribution, including its properties and calculations.
Stochastic Models for Communications
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Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.
Probability Distributions: Basics and Properties
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Covers the basics of probability distributions, including mean, variance, and properties of random variables.
Law of Large Numbers: Strong Convergence
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Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.
Binomial Distributions
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Covers the normal distribution, inferential statistics, probability, and the binomial distribution in the context of the 'Dishonest Gambler Problem'.
Probability and Measure: Fundamentals and Applications
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Covers fundamental concepts of probability theory and measure theory, including joint probabilities, random variables, and the central limit theorem.
Probability and Statistics: Fundamentals
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Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
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