An illustration of the convolution of two constant functions (similar to the above example):
MAT330 LECTURE 23 (4/27/2020): JOINTLY DISTRIBUTED RANDOM VARIABLES (continued)
• Announcements: Please remember that HW10 is due next Monday.
• Recap of jointly distributed continuous random variables (theory and example): Download file or watch below
• Video about the classical broken sticks problem: Download file or watch below
• Video about characterization of independent continuous random variables (part 1): Download file or watch below
• Video about characterization of independent continuous random variables (part 2): Download file or watch below
• Video about characterization of independent continuous random variables (part 3): Download file or watch below
• Video about jointly distributed random variables and testing independence (example): Download file or watch below
• Video about sums of independent random variables (theory): Download file or watch below
• Video about sums of independent random variables (example): Download file or watch below
An illustration of the convolution of two constant functions (similar to the above example):
• Lecture Notes (static file from above videos): PDF file
• External link 1: Sums of independent discrete random variables (video): Watch on YouTube
• External link 2: Sums of independent continuous random variables (video): Watch on YouTube
• External link 3 (bonus): Sums of independent normal random variables (video): Watch on YouTube
Last updated: April 27, 2020, 5:00pm EDT