https://github.com/weijie-chen/probability_theory
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
https://github.com/weijie-chen/probability_theory
econometrics mathematics probabilistic-models probability probability-distribution probability-theory statistics
Last synced: 3 days ago
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A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
- Host: GitHub
- URL: https://github.com/weijie-chen/probability_theory
- Owner: weijie-chen
- License: mit
- Created: 2020-06-24T12:32:53.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2022-01-15T15:13:31.000Z (over 3 years ago)
- Last Synced: 2023-03-09T01:21:54.787Z (about 2 years ago)
- Topics: econometrics, mathematics, probabilistic-models, probability, probability-distribution, probability-theory, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 848 KB
- Stars: 32
- Watchers: 2
- Forks: 17
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
[Last updated in Jan 2021]
# Probability Theory
A Quick Introduction to Probability Theory. This tutorial aims to refresh all most important concepts in probability theory with simple examples. Probability theory is the key foundation of statistics, econometrics and data science. Make you understand all the details in the example, use these examples as your references when encounter new problems.
## Prerequiste
Since this is not an academic course, there is no sophisticated derivation, only practical examples, you need don't any prerequiste except freshman level mathematics.
## Content (updating)
[Lecture 1 - Joint and Conditional Probability](https://nbviewer.jupyter.org/github/WeijieChen-MacroAnalyst/Probability_Theory/blob/master/Chapter%201%20-%20Joint%20and%20Conditional%20Probability.ipynb)
[Lecture 2 - Bayes' Theorem](https://github.com/WeijieChen-MacroAnalyst/Probability_Theory/blob/master/Chapter%202%20-%20Bayes'%20Theorem.ipynb)
[Lecture 3 - PMF, PDF and CDF](https://nbviewer.jupyter.org/github/MacroAnalyst/Probability_Theory/blob/master/Chapter%203%20-%20PMF%2C%20PDF%20and%20CDF.ipynb)
[Lecture 4 - Important Distributions](https://nbviewer.jupyter.org/github/MacroAnalyst/Probability_Theory/blob/master/Chapter%204%20-%20Most%20Important%20Discrete%20and%20Continuous%20Distributions.ipynb)
[Lecture 5 - Joint Distributions](https://nbviewer.jupyter.org/github/MacroAnalyst/Probability_Theory/blob/master/Chapter%205%20-%20Joint%20Distributions.ipynb)