Random Variables as Types - Lecture 11

Random Variables as Types - Lecture 11

The Julia Programming Language via YouTube Direct link

Defining abstract types for random variables

9 of 18

9 of 18

Defining abstract types for random variables

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Classroom Contents

Random Variables as Types - Lecture 11

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  1. 1 Introduction
  2. 2 Concepts for today
  3. 3 Random variables as types
  4. 4 Random variables
  5. 5 Gaussian distributions
  6. 6 Sum of two Gaussians
  7. 7 Theoretical random variables vs. sampling
  8. 8 Why define a type at all?
  9. 9 Defining abstract types for random variables
  10. 10 Defining a type for a Gaussian random variable
  11. 11 Sum of two Gaussian random variables
  12. 12 Probability distribution of a Gaussian
  13. 13 Sampling from a Gaussian distribution
  14. 14 More general distributions
  15. 15 Adding two random variables
  16. 16 Generic programming: sum
  17. 17 χ₁² distribution
  18. 18 Using symbolics

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