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
Inequalities: Cauchy-Schwarz, Jensen, Chebyshev
Graph Chatbot
Related lectures (31)
Previous
Page 1 of 4
Next
Probabilities and Statistics: Key Theorems and Applications
Discusses key statistical concepts, including sampling dangers, inequalities, and the Central Limit Theorem, with practical examples and applications.
Conditional expectation
Explores the properties of conditional expectation and its extension to positive variables.
Independence and Products
Covers independence between random variables and product measures in probability theory.
Sub-sigma-fields and Random Variables
Explores sub-sigma fields, random variables, and Borel measurable functions in probability theory.
Probability Theory: Basics
Covers the basics of probability theory, including probability spaces, random variables, and measures.
Conditional Expectation: Grouping Lemma
Explores conditional expectation, the grouping lemma, and the law of large numbers.
Probability and Statistics
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Information Theory: Channel Capacity and Convex Functions
Explores channel capacity and convex functions in information theory, emphasizing the importance of convexity.
Law of Large Numbers: Statistics
Explains the Law of Large Numbers and its application to random variables.
Probability Distributions in Environmental Studies
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.