Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/01/05
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Indian UGC (journal)
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Refrences48
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Citations2
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Neil G Marchant Research Fellow in the School of Computing and Information Systems, University of Melbourne is a , Australia ORCID (unauthenticated)
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Benjamin I P Rubinstein School of Computing and Information Systems, University of Melbourne is a Professor in the , Australia
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Rebecca C Steorts Department of Statistical Science, Duke University is an Assistant Professor in the , USA
Abstract
Cite
Marchant, Neil G, et al. “Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors”. Journal of Survey Statistics and Methodology, vol. 11, no. 3, 2023, pp. 569-96, https://doi.org/10.1093/jssam/smac030.
Marchant, N. G., Rubinstein, B. I. P., & Steorts, R. C. (2023). Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors. Journal of Survey Statistics and Methodology, 11(3), 569-596. https://doi.org/10.1093/jssam/smac030
Marchant, Neil G, Benjamin I P Rubinstein, and Rebecca C Steorts. “Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors”. Journal of Survey Statistics and Methodology 11, no. 3 (2023): 569-96. https://doi.org/10.1093/jssam/smac030.
Marchant NG, Rubinstein BIP, Steorts RC. Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors. Journal of Survey Statistics and Methodology. 2023;11(3):569-96.
Journal Categories
Science
Mathematics
Probabilities
Mathematical statistics
Social Sciences
Social Sciences
Sociology (General)
Social Sciences
Statistics
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
(Almost) all of entity resolution | Science Advances |
| 13 | 2022 |
| d-blink: Distributed End-to-End Bayesian Entity Resolution | Journal of Computational and Graphical Statistics |
| 10 | 2021 |
| The Four Generations of Entity Resolution | Synthesis Lectures on Data Management | 2021 | ||
| A Unified Framework for De-Duplication and Population Size Estimation (with Discussion) | Bayesian Analysis | 2020 | ||
| Using a Probabilistic Model to Assist Merging of Large-Scale Administrative Records | 2019 |
Refrences Analysis
| Category | Category Repetition |
|---|---|
| Science: Mathematics: Probabilities. Mathematical statistics | 11 |
| Science: Mathematics | 11 |
The category
Science: Mathematics: Probabilities. Mathematical statistics 11
is the most frequently represented among the references in this article. It primarily includes studies from Journal of the American Statistical Association and The American Statistician. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Convergence Diagnostics for Entity Resolution | Annual Review of Statistics and Its Application |
| 2024 | |
Recent Advances in Data Integration | Journal of Survey Statistics and Methodology |
| 2023 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Science: Mathematics: Probabilities. Mathematical statistics | 2 |
| Social Sciences: Statistics | 1 |
| Social Sciences: Sociology (General) | 1 |
| Social Sciences | 1 |
| Science: Mathematics | 1 |
The category
Science: Mathematics: Probabilities. Mathematical statistics 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Recent Advances in Data Integration and was published in 2023. The most recent citation comes from a 2024 study titled Convergence Diagnostics for Entity Resolution. This article reached its peak citation in 2024, with 1 citations. It has been cited in 2 different journals. Among related journals, the Annual Review of Statistics and Its Application cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.