LEJ Knowledge Hub

Lecture

Right Arrow

SEARCH COURSES / LECTURES

Left Arrow

Lecture 11: Derived Distributions (M-I-T)

(10 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • L11.1 Lecture Overview (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
2
  • L11.2 The PMF of a Function of a Discrete Random Variable (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
3
  • L11.3 A Linear Function of a Continuous Random Variable (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
4
  • L11.4 A Linear Function of a Normal Random Variable (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
5
  • L11.5 The PDF of a General Function (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
6
  • L11.6 The Monotonic Case (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
7
  • L11.7 The Intuition for the Monotonic Case (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
8
  • L11.8 A Nonmonotonic Example (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
9
  • L11.9 The PDF of a Function of Multiple Random Variables (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
10
  • S11.1 Simulation (M-I-T)
Lecture 11: Derived Distributions (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences

Basic and Health Sciences

Applied Sciences

Social Sciences