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Introduction and Probability Spaces
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Related lectures (56)
Elementary probability: Theory and calculations
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Introduces elementary probability theory, set theory operations, and probability calculations with practical examples.
Stochastic Models for Communications
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Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.
Transformation of Random Variables
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Interpolation Techniques
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Central Limit Theorem: Illustration and Applications
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Expectation Values: Understanding Probability Distribution Functions
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Explains how to calculate expectation values for random variables using examples like a dice game.
Stochastic Models for Communications: Discrete-Time Markov Chains - First Passage Time
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Explores discrete-time Markov chains, emphasizing first passage time probabilities and minimal solutions.
Probability Distributions: Basics and Properties
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Covers the basics of probability distributions, including mean, variance, and properties of random variables.
Poisson Paradigm: Qualitative / Quantitative
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Statistical Analysis: Boxplot and Normal Distribution
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Combinatorial Principles: Factorials and Probabilities
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Central Limit Theorem: Illustration and Applications
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Explores the Central Limit Theorem and its statistical implications in random variables.
Point Processes: Extreme Value Theory
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