A Bayesian Random Partition Model For Sequential Refinement and Coagulation
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/02/28
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Journal
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Indian UGC (journal)
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Refrences23
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Citations3
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Carlos Tadeu Pagani Zanini Department of Statistics and Data Sciences, University of Texas at Austin , Austin, Texas ORCID (unauthenticated)
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Peter Müller Department of Statistics and Data Sciences, University of Texas at Austin , Austin, Texas
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Yuan Ji Computational Genomics & Medicine, NorthShore University HealthSystem and Department of Public Health Sciences, The University of Chicago , Chicago, Illinois ORCID (unauthenticated)
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Fernando A. Quintana Departmento de Estadística, Pontificia Universidad Católica de Chile , Santiago , Chile ORCID (unauthenticated)
Abstract
Cite
Zanini, Carlos Tadeu Pagani, et al. “A Bayesian Random Partition Model For Sequential Refinement and Coagulation”. Biometrics, vol. 75, no. 3, 2019, pp. 988-99, https://doi.org/10.1111/biom.13047.
Zanini, C. T. P., Müller, P., Ji, Y., & Quintana, F. A. (2019). A Bayesian Random Partition Model For Sequential Refinement and Coagulation. Biometrics, 75(3), 988-999. https://doi.org/10.1111/biom.13047
Zanini, Carlos Tadeu Pagani, Peter Müller, Yuan Ji, and Fernando A. Quintana. “A Bayesian Random Partition Model For Sequential Refinement and Coagulation”. Biometrics 75, no. 3 (2019): 988-99. https://doi.org/10.1111/biom.13047.
Zanini CTP, Müller P, Ji Y, Quintana FA. A Bayesian Random Partition Model For Sequential Refinement and Coagulation. Biometrics. 2019;75(3):988-99.
Journal Categories
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Science
Biology (General)
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Akt inhibitors in cancer treatment: The long journey from drug discovery to clinical use (Review) | International Journal of Oncology |
| 251 | 2016 |
| MEK1 and MEK2 inhibitors and cancer therapy: the long and winding road | Nature Reviews Cancer |
| 391 | 2015 |
| Understanding predictive information criteria for Bayesian models | Statistics and Computing |
| 1,144 | 2014 |
| PI3K inhibition results in enhanced HER signaling and acquired ERK dependency in HER2-overexpressing breast cancer | Oncogene |
| 391 | 2011 |
| Targeting PI3K signalling in cancer: opportunities, challenges and limitations | Nature Reviews Cancer |
| 1,739 | 2009 |
Refrences Analysis
The category
Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens 8
is the most frequently represented among the references in this article. It primarily includes studies from Statistics and Computing 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 |
|---|---|---|---|---|
| Joint Random Partition Models for Multivariate Change Point Analysis | Bayesian Analysis | 2024 | ||
Flexible clustering via hidden hierarchical Dirichlet priors | Scandinavian Journal of Statistics |
| 6 | 2022 |
| Dependent Modeling of Temporal Sequences of Random Partitions | Journal of Computational and Graphical Statistics |
| 7 | 2021 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Science: Mathematics: Probabilities. Mathematical statistics | 2 |
| Science: Mathematics | 2 |
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 Dependent Modeling of Temporal Sequences of Random Partitions and was published in 2021. The most recent citation comes from a 2024 study titled Joint Random Partition Models for Multivariate Change Point Analysis. This article reached its peak citation in 2024, with 1 citations. It has been cited in 3 different journals. Among related journals, the Bayesian Analysis cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.