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
Von Neumann Extractor: Extensions
Graph Chatbot
Related lectures (38)
Probability Theory: Conditional Expectation
Covers conditional expectation, convergence of random variables, and the strong law of large numbers.
Random Variables: Expectation and Independence
Explores random variables, expectation, and independence in probability theory.
Law of Large Numbers: Strong Convergence
Log in to Mediaspace to watch this video
Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.
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.
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
Log in to Mediaspace to watch this video
Explores joint random variables, conditional density, and independence in probability and statistics.
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.
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.
Statistical Theory: Fundamentals
Log in to Mediaspace to watch this video
Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.
Elements of Statistics: Probability and Random Variables
Log in to Mediaspace to watch this video
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Stochastic Models for Communications
Log in to Mediaspace to watch this video
Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.
Insurance Risk Modeling
Log in to Mediaspace to watch this video
Covers the modeling of insurance risk, discussing joint distributions and the impact of accidents.
Estimating R: Moments and Cumulants
Log in to Mediaspace to watch this video
Explores the estimation of R using moments and cumulants in extreme value analysis.
Probability Distributions: Discrete Random Variables
Log in to Mediaspace to watch this video
Discusses properties and functions of discrete random variables, including binomial and negative binomial distributions.
Estimating Extreme Quantiles
Log in to Mediaspace to watch this video
Covers the estimation of extreme quantiles using empirical quantiles and sample data.
Algebraic Structures: Groups and Rings
Log in to Mediaspace to watch this video
Introduces algebraic structures essential for understanding mathematical objects used in science and engineering.
Residue Theorem: Applications in Complex Analysis
Log in to Mediaspace to watch this video
Discusses the residue theorem and its applications in calculating complex integrals.
Probability Theory: Independence and Conditional Independence
Log in to Mediaspace to watch this video
Explores independence and conditional independence in probability theory through mathematical definitions and examples.
Previous
Page 2 of 2
Next