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MXB101 - Probability and Stochastic Modelling 1

Dr Alexander Browning

Semester 1, 2022

Downloads

Lecture notes download: MXB101 Lecture Notes PDF

Exam notes download: MXB101 Exam Notes PDF

Thanks to rjboas for the collaboration.

This repository provides lecture notes and exam notes for MXB101 - Probability and Stochastic Modelling 1.

The contents of the lecture notes are described below.

Contents

  1. Events and Probability
  2. Independence
  3. Total Probability
  4. Combinatorics
  5. Random Variables and Distributions
  6. Random Variables
  7. Special Discrete Distributions
  8. Special Continuous Distributions
  9. Central Limit Theorem
  10. Bivariate Distributions
  11. Markov Chains
  12. Poisson Processes

license

This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International License.

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