Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Stochastic Models for Communications
Graph Chatbot
Related lectures (54)
Probability and Statistics
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Continuous Random Variables
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Probability and Statistics: Fundamental Theorems
Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.
Random Variables and Expected Value
Introduces random variables, probability distributions, and expected values through practical examples.
Probability Theory: Midterm Solutions
Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.
Statistical Inference: Random Variables
Covers random variables, probability functions, expectations, variances, and joint distributions.
Independence and Covariance
Explores independence and covariance between random variables, discussing their implications and calculation methods.
Advanced Probabilities: Random Variables & Expected Values
Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.
Conditional Density and Expectation
Covers conditional density, independence of random variables, expectation, and variance calculation.
Transformations of Random Variables
Covers the pdf of the sum of continuous random variables, convolution, and transformations like Y=aX.
Dependence in Random Vectors
Explores dependence in random vectors, covering joint density, conditional independence, covariance, and moment generating functions.
Multivariate Statistics: Normal Distribution
Introduces multivariate statistics, covering normal distribution properties and characteristic functions.
Random Vectors and Stochastic Models for Communications
Log in to Mediaspace to watch this video
Covers random vectors, joint probability, and conditional probability in communication stochastic models.
Elements of Statistics
Log in to Mediaspace to watch this video
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Probability and Statistics
Log in to Mediaspace to watch this video
Explores joint random variables, conditional density, and independence in probability and statistics.
Conditional Density and Expectation
Log in to Mediaspace to watch this video
Explores conditional density, expectations, and independence of random variables with practical examples.
Probability and Statistics: Fundamentals
Log in to Mediaspace to watch this video
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Central Limit Theorem: Properties and Applications
Log in to Mediaspace to watch this video
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Random Vectors: Stochastic Models for Communications
Log in to Mediaspace to watch this video
Covers random vectors, joint probability, and Gaussian random variables in communication models.
Probability Distributions in Environmental Studies
Log in to Mediaspace to watch this video
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.
Previous
Page 1 of 3
Next