- Author: [First Name][Last Name], [Major], [Class], Duke Kunshan University
- Instructor: Prof. Luyao Zhang, Duke Kunshan University
- Disclaimer: Submissions to the Final Project for STATS201 Introduction to Machine Learning for Social Science, 2023 Autumn Term (Seven Week - Second) instructed by Prof. Luyao Zhang at Duke Kunshan University.
- Acknowledgments: How to Acknowledge? [notes: please include all professors, students, and staff who have contributed to your completetion of the project.]
- Project Summary:
- [Summarize the Background/Motivation]
- [Research Questions]
Note: please insert the screenshot of the answers to your research question by ChatGPT. The methodology that you use to address the research questions must be more innovative than both the current literature and ChatGPT.
- [Application Scenario (Data Source)]
- [Methodology]
- [Results]
- [Intellectual Merits and Practical impacts of your project.]
- literature
- method
- data
- code
- results
- spotlight
- more about the author
- references
- Posters
- Figures
- Slides
- Presentations
- Review articles
- Media appearance
- headshot
- self-introduction
- Final reflections
- intellectual growth
- professional growth
- living a purposeful life
- Data Source Title and URL
- Code Source Title and URL
- Article Source Title and URL
- Literature References in Chicago Author-Date Style and BibTex
Levin, Dan, and Luyao Zhang. 2020. “Bridging Level-K to Nash Equilibrium.” The Review of Economics and Statistics 104 (6): 1329–40. https://doi.org/10.1162/rest_a_00990.
@article{levin2022bridging,
title={Bridging level-k to nash equilibrium},
author={Levin, Dan and Zhang, Luyao},
journal={Review of Economics and Statistics},
volume={104},
number={6},
pages={1329--1340},
year={2022},
publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}