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
Binomial and Poisson Mass Functions
Graph Chatbot
Related lectures (29)
Previous
Page 2 of 3
Next
Random Variables: Expectation and Independence
Explores random variables, expectation, and independence in probability theory.
Continuous Random Variables: Basic Ideas
Explores continuous random variables and their properties, including support and cumulative distribution functions.
Probability Theory: Midterm Solutions
Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.
Probability and Statistics: Discrete Random Variables
Explores discrete random variables, mass functions, and distribution functions in probability and statistics.
Bayes' Theorem: Defective Parts Detection
Explores Bayes' Theorem for defective parts detection, discrete random variables, and distribution functions, with practical examples and exercises.
Modes of Convergence
Explores modes of convergence in probability and statistics, illustrating concepts with examples and discussing the continuity theorem.
Probability and Statistics: Fundamentals
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Continuous Random Variables
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Probability and Statistics
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Elements of Statistics: Probability and Random Variables
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.