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Table of contents
Class notes
Class notes
Before midsem:
Motivation
Basic definitions
Random walk
Independence
First taste of measure theory
(important, but not in syllabus)
Conditional probability
After midsem:
Random variables
Random variables (contd)
Joint distribution
Conditional distribution
Standard discrete distributions:
Finite support
Infinite support
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