Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 31, 07 March 2024
Open
Access | Article
Using Bernoulli analysis in horse racing game
* Author to whom correspondence should be addressed.
Abstract
Horse racing is very popular in East Asia, especially in Hong Kong and Japan. But whether there is a specific way to win in this kind of gambling game is something that many people are curious about. There are many statistical analyzes in the field of mathematics that deal specifically with various forms of gambling. Many researchers also hope to use mathematics to calculate the winning method of horse racing. The aim of this article is to obtain, through mathematical analysis, the correlation between the effect of the weight of the horse on the outcome of a race in a horse race, under the influence of different distances. In the article, purely linear relationships and Bernoulli analysis were used to determine the results, and then Bernoulli analysis was used to obtain the relationship between the weight of the horse and the final result. In the plotting process, I used python’s PyMC3 library to help construct the mathematical model, and jupyter notebook to make the data more intuitive to show.
Keywords
Horse Racing, Bernoulli analysis, PyMC3
References
1. Mordin, Nick. Mordin on Time. Aesculus Press, 2003.
2. Horse Racing in HK. (n.d.). Horse Racing in HK | Kaggle. https:///datasets/gdaley/hkracing
3. Home. (n.d.). PyMC Project Website. https://www.pymc.io/welcome.html
4. Davidson-Pilon, Cameron. Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference. Addison-Wesley, 2016.
5. Rogel-Salazar, Jesus. “Chapter 5.3.2.” Statistics and Data Visualisation with Python, CRC Press, Taylor & Francis Group, Boca Raton, 2023.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-317-3
- ISBN (Online)
- 978-1-83558-318-0
- Published Date
- 07 March 2024
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/31/20241016
- Copyright
- 07 March 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited