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
Modes of Convergence
Graph Chatbot
Related lectures (30)
Previous
Page 3 of 3
Next
Probability Theory: Midterm Solutions
Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.
Random Variables: Expectation and Independence
Explores random variables, expectation, and independence in probability theory.
Probability and Statistics
Covers probability distributions, moments, and continuous random variables.
Statistical Theory: Fundamentals
Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.
Bayes' Theorem: Defective Parts Detection
Explores Bayes' Theorem for defective parts detection, discrete random variables, and distribution functions, with practical examples and exercises.
Probability Distributions: Basics and Properties
Covers the basics of probability distributions, including mean, variance, and properties of random variables.
Law of Large Numbers: Strong Convergence
Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.
Central Limit Theorem: Properties and Applications
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Causal Systems & Transforms: Delay Operator Interpretation
Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.
Probability and Statistics: Discrete Random Variables
Explores discrete random variables, mass functions, and distribution functions in probability and statistics.