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
Continuous Random Variables: Basics
Graph Chatbot
Related lectures (30)
Previous
Page 3 of 3
Next
Probability Distributions: Basics and Properties
Covers the basics of probability distributions, including mean, variance, and properties of random variables.
Continuous Random Variables: Distributions and Examples
Explores continuous random variables, density functions, and distribution laws with practical examples.
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.
Distribution of Random Variables
Introduces the concept of the distribution of a random variable and explores specific cases of discrete and continuous random variables.
Quantiles, Sampling, Histogram Density
Explores quantiles, sampling, and histogram density for understanding distributions and constructing confidence intervals.
Probability Theory: Basics and Applications
Covers the fundamentals of probability theory, including conditional probability, Bayes' rule, and random variables.
Probability Theory: Midterm Solutions
Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.
Random Variables: Expected Value
Covers advanced probability concepts, including random variables and expected value calculation.
Probability and Stochastic Processes: Fundamentals and Applications
Discusses the fundamentals of probability and stochastic processes, focusing on random variables, their properties, and applications in statistical signal processing.