https://github.com/kwonnayeon/bayesian-paper-reviews

Contains presentations and reviews of Bayesian analysis papers from grad school coursework.
https://github.com/kwonnayeon/bayesian-paper-reviews

academic-coursework longitudinal-data missing-data quantile-regression stochastic-search

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Contains presentations and reviews of Bayesian analysis papers from grad school coursework.

• Host: GitHub
• URL: https://github.com/kwonnayeon/bayesian-paper-reviews
• Owner: KwonNayeon
• License: mit
• Created: 2023-03-27T13:55:21.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-07T15:02:54.000Z (9 months ago)
• Last Synced: 2025-01-13T09:45:55.159Z (4 months ago)
• Topics: academic-coursework, longitudinal-data, missing-data, quantile-regression, stochastic-search
• Homepage:
• Size: 9.07 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# Bayesian Paper Reviews

This repository contains presentation slides and summaries for reviews of three Bayesian analysis papers. Each presentation provides a summary and key insights from the paper, focusing on the Bayesian methods used.

## Papers Reviewed

1. **Shotgun Stochastic Search for “Large p” Regression**

   - **Type:** Team Project

   - **Achievement:** Achieved the top score among teams.

   - **Authors:** Hans, C., Dobra, A., & West, M.

   - **Journal:** Journal of the American Statistical Association

   - **Volume:** 102, Issue: 478, Pages: 507–516

   - [Shotgun_Stochastic_Search_Large_p_Regression/Shotgun_Stochastic_Search_Large_p_Regression.pdf](Shotgun_Stochastic_Search_Large_p_Regression/Shotgun_Stochastic_Search_Large_p_Regression.pdf)

   - **Team Members:** Nayeon Kwon, Yejin Jeong

   - **Achievement Details:** Our team was awarded the top score for this project, reflecting our deep understanding of the Bayesian methods discussed.

2. **Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data**

   - **Type:** Team Project

   - **Grade:** A+ for this team project.

   - **Authors:** Yuan, Y., & Yin, G.

   - **Journal:** Biometrics

   - **Volume:** 66, Issue: 1, Pages: 105–114

   - [Bayesian_Quantile_Regression_Longitudinal_Studies/Bayesian_Quantile_Regression_Longitudinal_Studies.pdf](Bayesian_Quantile_Regression_Longitudinal_Studies/Bayesian_Quantile_Regression_Longitudinal_Studies.pdf)

   - **Additional Resources:**

     - [Review Summary in Korean](Bayesian_Quantile_Regression_Longitudinal_Studies/Bayesian_Quantile_Regression_Review_Korean.pdf)

   - **Team Members:** Nayeon Kwon, Hyunwoo Im

   - **Grade Details:** Received an A+ grade, demonstrating our effective team collaboration and in-depth analysis.

3. **A Bayesian Localized Conditional Autoregressive Model for Estimating the Health Effects of Air Pollution**

   - **Type:** Individual Project

   - **Grade:** A+ for this individual project.

   - **Authors:** Lee, D., Rushworth, A., & Sahu, S. K.

   - **Journal:** Biometrics

   - **Volume:** 70, Issue: 2, Pages: 419–429

   - [Bayesian_Localized_CAR_Health_Effects_Air_Pollution/Bayesian_Localized_CAR_Health_Effects_Air_Pollution.pdf](Bayesian_Localized_CAR_Health_Effects_Air_Pollution/Bayesian_Localized_CAR_Health_Effects_Air_Pollution.pdf)

   - **Additional Resources:**

     - [Review Summary in Korean](Bayesian_Localized_CAR_Health_Effects_Air_Pollution/Bayesian_Localized_CAR_Health_Effects_Air_Pollution_KR_Summary.pdf)

   - **Grade Details:** Achieved an A+ grade, reflecting my strong individual performance and thorough understanding of the Bayesian methods.

## References

1. Yuan, Y., & Yin, G. (2009). *Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data*. Biometrics, 66(1), 105–114.

2. Hans, C., Dobra, A., & West, M. (2007). *Shotgun Stochastic Search for “Large p” Regression*. Journal of the American Statistical Association, 102(478), 507–516.

3. Lee, D., Rushworth, A., & Sahu, S. K. (2014). *A Bayesian Localized Conditional Autoregressive Model for Estimating the Health Effects of Air Pollution*. Biometrics, 70(2), 419–429.

4. Lee, D. (2017). *Carbayes version 4.6: An R package for spatial areal unit modelling with conditional autoregressive priors*. Glasgow: University of Glasgow.

## About

These presentations and summaries were created as part of my coursework on Bayesian methods. They demonstrate my ability to analyze and communicate complex statistical techniques. The repository includes a summary in Korean, showcasing my bilingual abilities and further analysis.

## License

This project is licensed under the [MIT License](LICENSE.txt). See the [LICENSE.txt](LICENSE.txt) file for details.