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awardees.qmd
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awardees.qmd
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---
title: "JASA Reproducibility Awardees"
---
The JASA Editorial Board and Associate Editors for Reproducibility would like to congratulate the winners on their exceptional contributions to computational reproducibility within the statistical field! 🏅
These awards are selected by the [JASA Associate Editors of Reproducibility (AERs)](about.qmd) and a description of the JASA Reproducibility Award is described [here](index.qmd).
## 2024
- Yabo Niu, Yang Ni, Debdeep Pati, Bani K. Mallick. (2023). Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data, _Journal of the American Statistical Association_, DOI: [10.1080/01621459.2023.2233744](https://doi.org/10.1080/01621459.2023.2233744)
- Code to reproduce results: [https://www.tandfonline.com/doi/suppl/10.1080/01621459.2023.2233744?scroll=top](https://www.tandfonline.com/doi/suppl/10.1080/01621459.2023.2233744)
- Stéphane Guerrier, Christoph Kuzmics, Maria-Pia Victoria-Feser. (2024). Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information, _Journal of the American Statistical Association_, DOI: [10.1080/01621459.2024.2313790](https://doi.org/10.1080/01621459.2024.2313790)
- R software package: [https://github.com/stephaneguerrier/pempi](https://github.com/stephaneguerrier/pempi)
- Code to reproduce results: [https://stephaneguerrier.github.io/pempi/articles/reproducibility.html](https://stephaneguerrier.github.io/pempi/articles/reproducibility.html)
## 2023
- Lucy L. Gao, Jacob Bien, Daniela Witten (2022). Selective Inference for Hierarchical Clustering, _Journal of the American Statistical Association_, DOI: [10.1080/01621459.2022.2116331](https://doi.org/10.1080/01621459.2022.2116331)
- R software package: [http://lucylgao.com/clusterpval](http://lucylgao.com/clusterpval)
- Code to reproduce results: [https://github.com/lucylgao/clusterpval-experiments](https://github.com/lucylgao/clusterpval-experiments)
- Cecilia Balocchi, Sameer K. Deshpande, Edward I. George, Shane T. Jensen (2023). Crime in Philadelphia: Bayesian Clustering with Particle Optimization, _Journal of the American Statistical Association_, DOI: [10.1080/01621459.2022.2156348](https://doi.org/10.1080/01621459.2022.2156348)
- R software package: [https://github.com/cecilia-balocchi/particle-optimization/tree/master/PARTOPT](https://github.com/cecilia-balocchi/particle-optimization/tree/master/PARTOPT)
- Code to reproduce results: [https://github.com/cecilia-balocchi/particle-optimization](https://github.com/cecilia-balocchi/particle-optimization)