Bayesian Graphical Regression

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/01621459.2017.1389739
  • Publication Date
    2018/06/28
  • Journal
    Journal of the American Statistical Association
  • Indian UGC (journal)
  • Refrences
    58
  • Citations
    18
  • Yang Ni Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TXDepartment of Statistics, Rice University, Houston, TXDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
  • Francesco C. Stingo Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TXDepartment of Statistics, Computer Science, Applications “G. Parenti,” The University of Florence, Firenze FI, Italy ORCID (unauthenticated)
  • Veerabhadran Baladandayuthapani Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
Cite
Ni, Yang, et al. “Bayesian Graphical Regression”. Journal of the American Statistical Association, vol. 114, no. 525, 2018, pp. 184-97, https://doi.org/10.1080/01621459.2017.1389739.
Ni, Y., Stingo, F. C., & Baladandayuthapani, V. (2018). Bayesian Graphical Regression. Journal of the American Statistical Association, 114(525), 184-197. https://doi.org/10.1080/01621459.2017.1389739
Ni, Yang, Francesco C. Stingo, and Veerabhadran Baladandayuthapani. “Bayesian Graphical Regression”. Journal of the American Statistical Association 114, no. 525 (2018): 184-97. https://doi.org/10.1080/01621459.2017.1389739.
Ni Y, Stingo FC, Baladandayuthapani V. Bayesian Graphical Regression. Journal of the American Statistical Association. 2018;114(525):184-97.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Citations
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Algorithm xxx: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R

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Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics12
Science: Mathematics10
Science: Biology (General)6
Medicine: Medicine (General): Computer applications to medicine. Medical informatics5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science3
Science: Chemistry: Organic chemistry: Biochemistry2
Technology: Chemical technology: Biotechnology2
Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene2
Medicine: Medicine (General)2
Medicine: Medicine (General): Medical technology2
Social Sciences2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Science: Biology (General): Genetics1
Social Sciences: Commerce: Business: Accounting. Bookkeeping1
Social Sciences: Finance1
The category Science: Mathematics: Probabilities. Mathematical statistics 12 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Bayesian graphical models for computational network biology and was published in 2018. The most recent citation comes from a 2024 study titled Algorithm xxx: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R. This article reached its peak citation in 2022, with 6 citations. It has been cited in 13 different journals, 7% of which are open access. Among related journals, the Journal of the American Statistical Association cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year