Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Discrete Random Variables: Medical Testing
Graph Chatbot
Related lectures (30)
Previous
Page 3 of 3
Next
Multinomial Distribution
Covers the multinomial distribution, joint density, marginal distribution, and conditional distribution.
Probability Distributions: Discrete and Continuous
Covers discrete and continuous probability distributions, including joint and conditional probabilities.
Probability Fundamentals
Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.
Probability and Statistics
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Probability and Statistics
Covers probability, statistics, independence, covariance, correlation, and random variables.
Joint Probability and Marginal Laws
Explores joint probability, marginal laws, conditional laws, and potential paradoxes in probability theory.
Conditional Probability Distributions
Covers conditional probability distributions and introduces the concept of conditional expected value.
Transformations of Joint Densities
Covers the transformations of joint continuous densities and their implications on probability distributions.
Probability and Statistics
Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.
Entropy and Data Compression: Huffman Coding Techniques
Discusses entropy, data compression, and Huffman coding techniques, emphasizing their applications in optimizing codeword lengths and understanding conditional entropy.