A Practical Approach to Proper Inference with Linked Data
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2022/03/23
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Journal
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Indian UGC (journal)
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Refrences61
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Citations4
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Andee Kaplan Department of Statistics, Colorado State University, Fort Collins, CO ORCID (unauthenticated)
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Brenda Betancourt Department of Statistics, University of Florida, Gainesville, FL
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Rebecca C. Steorts Departments of Statistical Science and Computer Science, Duke University, Durham, NC
Cite
Kaplan, Andee, et al. “A Practical Approach to Proper Inference With Linked Data”. The American Statistician, vol. 76, no. 4, 2022, pp. 384-93, https://doi.org/10.1080/00031305.2022.2041482.
Kaplan, A., Betancourt, B., & Steorts, R. C. (2022). A Practical Approach to Proper Inference with Linked Data. The American Statistician, 76(4), 384-393. https://doi.org/10.1080/00031305.2022.2041482
Kaplan, Andee, Brenda Betancourt, and Rebecca C. Steorts. “A Practical Approach to Proper Inference With Linked Data”. The American Statistician 76, no. 4 (2022): 384-93. https://doi.org/10.1080/00031305.2022.2041482.
Kaplan A, Betancourt B, Steorts RC. A Practical Approach to Proper Inference with Linked Data. The American Statistician. 2022;76(4):384-93.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | 2019 | |||
| Title | Journal of Official Statistics |
| 1991 | |
| Proceedings of the 30th International Conference on Neural Information Processing Systems, NIPS’16 | 2016 | |||
| Texts in Statistical Science | 2013 | |||
| Proceedings of the 4th IFCIS International Conference on Cooperative Information Systems | 1999 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Fast Bayesian Record Linkage for Streaming Data Contexts | Journal of Computational and Graphical Statistics |
| 1 | 2024 |
Convergence Diagnostics for Entity Resolution | Annual Review of Statistics and Its Application |
| 2024 | |
Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors | Journal of Survey Statistics and Methodology |
| 2 | 2023 |
A Primer on the Data Cleaning Pipeline | Journal of Survey Statistics and Methodology |
| 1 | 2023 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Science: Mathematics: Probabilities. Mathematical statistics | 4 |
| Social Sciences: Statistics | 2 |
| Social Sciences: Sociology (General) | 2 |
| Social Sciences | 2 |
| Science: Mathematics | 2 |
The category
Science: Mathematics: Probabilities. Mathematical statistics 4
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Primer on the Data Cleaning Pipeline 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 2 citations. It has been cited in 3 different journals. Among related journals, the Journal of Survey Statistics and Methodology cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.