Prior probability (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Prior probability" in English language version.

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12doi.org

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4semanticscholar.org

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1harvard.edu

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arxiv.org

Piironen, Juho; Vehtari, Aki (2017). "Sparsity information and regularization in the horseshoe and other shrinkage priors". Electronic Journal of Statistics. 11 (2): 5018–5051. arXiv:1707.01694. doi:10.1214/17-EJS1337SI.
Simpson, Daniel; et al. (2017). "Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors". Statistical Science. 32 (1): 1–28. arXiv:1403.4630. doi:10.1214/16-STS576. S2CID 88513041.

doi.org

Mikkola, Petrus; et al. (2024). "Prior Knowledge Elicitation: The Past, Present, and Future". Bayesian Analysis. 19 (4). doi:10.1214/23-BA1381. hdl:11336/183197. S2CID 244798734.
Icazatti, Alejandro; Abril-Pla, Oriol; Klami, Arto; Martin, Osvaldo A. (September 2023). "PreliZ: A tool-box for prior elicitation". Journal of Open Source Software. 8 (89): 5499. Bibcode:2023JOSS....8.5499I. doi:10.21105/joss.05499.
Price, Harold J.; Manson, Allison R. (2001). "Uninformative priors for Bayes' theorem". AIP Conf. Proc. 617: 379–391. doi:10.1063/1.1477060.
Piironen, Juho; Vehtari, Aki (2017). "Sparsity information and regularization in the horseshoe and other shrinkage priors". Electronic Journal of Statistics. 11 (2): 5018–5051. arXiv:1707.01694. doi:10.1214/17-EJS1337SI.
Simpson, Daniel; et al. (2017). "Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors". Statistical Science. 32 (1): 1–28. arXiv:1403.4630. doi:10.1214/16-STS576. S2CID 88513041.
Fortuin, Vincent (2022). "Priors in Bayesian Deep Learning: A Review". International Statistical Review. 90 (3): 563–591. doi:10.1111/insr.12502. hdl:20.500.11850/547969. S2CID 234681651.
Jaynes, Edwin T. (Sep 1968). "Prior Probabilities" (PDF). IEEE Transactions on Systems Science and Cybernetics. 4 (3): 227–241. doi:10.1109/TSSC.1968.300117.
This prior was proposed by J.B.S. Haldane in "A note on inverse probability", Mathematical Proceedings of the Cambridge Philosophical Society 28, 55–61, 1932, doi:10.1017/S0305004100010495. See also J. Haldane, "The precision of observed values of small frequencies", Biometrika, 35:297–300, 1948, doi:10.2307/2332350, JSTOR 2332350.
Esfahani, M. S.; Dougherty, E. R. (2014). "Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification - IEEE Journals & Magazine". IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11 (1): 202–18. doi:10.1109/TCBB.2013.143. PMID 26355519. S2CID 10096507.
Boluki, Shahin; Esfahani, Mohammad Shahrokh; Qian, Xiaoning; Dougherty, Edward R (December 2017). "Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors". BMC Bioinformatics. 18 (S14): 552. doi:10.1186/s12859-017-1893-4. ISSN 1471-2105. PMC 5751802. PMID 29297278.
Dawid, A. P.; Stone, M.; Zidek, J. V. (1973). "Marginalization Paradoxes in Bayesian and Structural Inference". Journal of the Royal Statistical Society. Series B (Methodological). 35 (2): 189–233. doi:10.1111/j.2517-6161.1973.tb00952.x. JSTOR 2984907.
Iba, Y. (1989). "Bayesian Statistics and Statistical Mechanics". In Takayama, H. (ed.). Cooperative Dynamics in Complex Physical Systems. Springer Series in Synergetics. Vol. 43. Berlin: Springer. pp. 235–236. doi:10.1007/978-3-642-74554-6_60. ISBN 978-3-642-74556-0.

handle.net

hdl.handle.net

Mikkola, Petrus; et al. (2024). "Prior Knowledge Elicitation: The Past, Present, and Future". Bayesian Analysis. 19 (4). doi:10.1214/23-BA1381. hdl:11336/183197. S2CID 244798734.
Fortuin, Vincent (2022). "Priors in Bayesian Deep Learning: A Review". International Statistical Review. 90 (3): 563–591. doi:10.1111/insr.12502. hdl:20.500.11850/547969. S2CID 234681651.

harvard.edu

ui.adsabs.harvard.edu

Icazatti, Alejandro; Abril-Pla, Oriol; Klami, Arto; Martin, Osvaldo A. (September 2023). "PreliZ: A tool-box for prior elicitation". Journal of Open Source Software. 8 (89): 5499. Bibcode:2023JOSS....8.5499I. doi:10.21105/joss.05499.

jstor.org

This prior was proposed by J.B.S. Haldane in "A note on inverse probability", Mathematical Proceedings of the Cambridge Philosophical Society 28, 55–61, 1932, doi:10.1017/S0305004100010495. See also J. Haldane, "The precision of observed values of small frequencies", Biometrika, 35:297–300, 1948, doi:10.2307/2332350, JSTOR 2332350.
Dawid, A. P.; Stone, M.; Zidek, J. V. (1973). "Marginalization Paradoxes in Bayesian and Structural Inference". Journal of the Royal Statistical Society. Series B (Methodological). 35 (2): 189–233. doi:10.1111/j.2517-6161.1973.tb00952.x. JSTOR 2984907.

nih.gov

pubmed.ncbi.nlm.nih.gov

Esfahani, M. S.; Dougherty, E. R. (2014). "Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification - IEEE Journals & Magazine". IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11 (1): 202–18. doi:10.1109/TCBB.2013.143. PMID 26355519. S2CID 10096507.
Boluki, Shahin; Esfahani, Mohammad Shahrokh; Qian, Xiaoning; Dougherty, Edward R (December 2017). "Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors". BMC Bioinformatics. 18 (S14): 552. doi:10.1186/s12859-017-1893-4. ISSN 1471-2105. PMC 5751802. PMID 29297278.

ncbi.nlm.nih.gov

Boluki, Shahin; Esfahani, Mohammad Shahrokh; Qian, Xiaoning; Dougherty, Edward R (December 2017). "Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors". BMC Bioinformatics. 18 (S14): 552. doi:10.1186/s12859-017-1893-4. ISSN 1471-2105. PMC 5751802. PMID 29297278.

semanticscholar.org

api.semanticscholar.org

Mikkola, Petrus; et al. (2024). "Prior Knowledge Elicitation: The Past, Present, and Future". Bayesian Analysis. 19 (4). doi:10.1214/23-BA1381. hdl:11336/183197. S2CID 244798734.
Simpson, Daniel; et al. (2017). "Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors". Statistical Science. 32 (1): 1–28. arXiv:1403.4630. doi:10.1214/16-STS576. S2CID 88513041.
Fortuin, Vincent (2022). "Priors in Bayesian Deep Learning: A Review". International Statistical Review. 90 (3): 563–591. doi:10.1111/insr.12502. hdl:20.500.11850/547969. S2CID 234681651.
Esfahani, M. S.; Dougherty, E. R. (2014). "Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification - IEEE Journals & Magazine". IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11 (1): 202–18. doi:10.1109/TCBB.2013.143. PMID 26355519. S2CID 10096507.

worldcat.org

search.worldcat.org

Boluki, Shahin; Esfahani, Mohammad Shahrokh; Qian, Xiaoning; Dougherty, Edward R (December 2017). "Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors". BMC Bioinformatics. 18 (S14): 552. doi:10.1186/s12859-017-1893-4. ISSN 1471-2105. PMC 5751802. PMID 29297278.

wustl.edu

bayes.wustl.edu

Jaynes, Edwin T. (Sep 1968). "Prior Probabilities" (PDF). IEEE Transactions on Systems Science and Cybernetics. 4 (3): 227–241. doi:10.1109/TSSC.1968.300117.