Convergence Diagnostics for Entity Resolution
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/04/22
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Indian UGC (journal)
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Refrences84
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Serge Aleshin-Guendel 1Department of Statistical Science, Duke University, Durham, North Carolina, USA; email: [email protected]
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Rebecca C. Steorts 1Department of Statistical Science, Duke University, Durham, North Carolina, USA; email: [email protected] of Computer Science, Department of Biostatistics and Bioinformatics, the Rhodes Information Initiative at Duke (iiD), and the Social Science Research Institute (SSRI), Duke University, Durham, North Carolina, USA3Center for Statistical Research and Methodology, United States Census Bureau, Suitland, Maryland, USA
Abstract
Cite
Aleshin-Guendel, Serge, and Rebecca C. Steorts. “Convergence Diagnostics for Entity Resolution”. Annual Review of Statistics and Its Application, vol. 11, no. 1, 2024, pp. 419-35, https://doi.org/10.1146/annurev-statistics-040522-114848.
Aleshin-Guendel, S., & Steorts, R. C. (2024). Convergence Diagnostics for Entity Resolution. Annual Review of Statistics and Its Application, 11(1), 419-435. https://doi.org/10.1146/annurev-statistics-040522-114848
Aleshin-Guendel, Serge, and Rebecca C. Steorts. “Convergence Diagnostics for Entity Resolution”. Annual Review of Statistics and Its Application 11, no. 1 (2024): 419-35. https://doi.org/10.1146/annurev-statistics-040522-114848.
1.
Aleshin-Guendel S, Steorts RC. Convergence Diagnostics for Entity Resolution. Annual Review of Statistics and Its Application. 2024;11(1):419-35.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Multifile Partitioning for Record Linkage and Duplicate Detection | Journal of the American Statistical Association |
| 7 | 2023 |
Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors | Journal of Survey Statistics and Methodology |
| 2 | 2023 |
| Random Partition Models for Microclustering Tasks | Journal of the American Statistical Association |
| 13 | 2022b |
| A Practical Approach to Proper Inference with Linked Data | The American Statistician |
| 4 | 2022 |
| Search Algorithms and Loss Functions for Bayesian Clustering | Journal of Computational and Graphical Statistics |
| 14 | 2022 |
Refrences Analysis
The category
Science: Mathematics 28
is the most frequently represented among the references in this article. It primarily includes studies from Journal of the American Statistical Association and Bayesian Analysis. The chart below illustrates the number of referenced publications per year.