Stan (software) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Stan (software)" in English language version.

refsWebsite
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4th place
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69th place
59th place
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488th place
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7,871st place
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arxiv.org (Global: 69th place; English: 59th place)

columbia.edu (Global: 488th place; English: 374th place)

statmodeling.stat.columbia.edu

doi.org (Global: 2nd place; English: 2nd place)

github.com (Global: 383rd place; English: 320th place)

  • "Release 2.37.0". 2 September 2025. Retrieved 15 September 2025.
  • Stan Development Team. 2015. Stan Modeling Language User's Guide and Reference Manual, Version 2.9.0

harvard.edu (Global: 18th place; English: 17th place)

ui.adsabs.harvard.edu

jmlr.org (Global: low place; English: low place)

mc-stan.org (Global: low place; English: low place)

mc-stan.org

discourse.mc-stan.org

nih.gov (Global: 4th place; English: 4th place)

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

r-project.org (Global: 7,871st place; English: 5,225th place)

cran.r-project.org

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

  • Natanegara, Fanni; Neuenschwander, Beat; Seaman, John W.; Kinnersley, Nelson; Heilmann, Cory R.; Ohlssen, David; Rochester, George (2013). "The current state of Bayesian methods in medical product development: survey results and recommendations from the DIA Bayesian Scientific Working Group". Pharmaceutical Statistics. 13 (1): 3–12. doi:10.1002/pst.1595. ISSN 1539-1612. PMID 24027093. S2CID 19738522.

ssrn.com (Global: 703rd place; English: 501st place)

papers.ssrn.com

  • Goodrich, Benjamin King, Wawro, Gregory and Katznelson, Ira, Designing Quantitative Historical Social Inquiry: An Introduction to Stan (2012). APSA 2012 Annual Meeting Paper. Available at SSRN 2105531

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

  • Natanegara, Fanni; Neuenschwander, Beat; Seaman, John W.; Kinnersley, Nelson; Heilmann, Cory R.; Ohlssen, David; Rochester, George (2013). "The current state of Bayesian methods in medical product development: survey results and recommendations from the DIA Bayesian Scientific Working Group". Pharmaceutical Statistics. 13 (1): 3–12. doi:10.1002/pst.1595. ISSN 1539-1612. PMID 24027093. S2CID 19738522.