Bayesian experimental design (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Bayesian experimental design" in English language version.

refsWebsite

Global rank English rank

10doi.org

2^nd place

8nih.gov

4^th place

5harvard.edu

18^th place

17^th place

2arxiv.org

69^th place

59^th place

2semanticscholar.org

11^th place

8^th place

1uiowa.edu

3,018^th place

1,865^th place

1handle.net

102^nd place

76^th place

arxiv.org (Global: 69^th place; English: 59^th place)

Thibaut; Laloy; Hermans (2021), "A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area", Journal of Hydrology, 603 126903, arXiv:2105.05539, Bibcode:2021JHyd..60326903T, doi:10.1016/j.jhydrol.2021.126903, hdl:1854/LU-8759542, S2CID 234469903
Bania, Piotr; Wojcik, Anna (7 October 2025). "An Approximate Bayesian Approach to Optimal Input Signal Design for System Identification". Entropy. 27 (10): 1041. arXiv:2511.04425. Bibcode:2025Entrp..27.1041B. doi:10.3390/e27101041.

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

Lee, Se Yoon (2024). "Using Bayesian statistics in confirmatory clinical trials in the regulatory setting: a tutorial review". BMC Med Res Methodol. 24 (1) 110. doi:10.1186/s12874-024-02235-0. PMC 11077897. PMID 38714936.
An approach reviewed in Chaloner, Kathryn; Verdinelli, Isabella (1995), "Bayesian experimental design: a review" (PDF), Statistical Science, 10 (3): 273–304, doi:10.1214/ss/1177009939
Vanlier; Tiemann; Hilbers; van Riel (2012), "A Bayesian approach to targeted experiment design", Bioinformatics, 28 (8): 1136–1142, doi:10.1093/bioinformatics/bts092, PMC 3324513, PMID 22368245
Thibaut; Laloy; Hermans (2021), "A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area", Journal of Hydrology, 603 126903, arXiv:2105.05539, Bibcode:2021JHyd..60326903T, doi:10.1016/j.jhydrol.2021.126903, hdl:1854/LU-8759542, S2CID 234469903
Liepe; Filippi; Komorowski; Stumpf (2013), "Maximizing the Information Content of Experiments in Systems Biology", PLOS Computational Biology, 9 (1) e1002888, Bibcode:2013PLSCB...9E2888L, doi:10.1371/journal.pcbi.1002888, PMC 3561087, PMID 23382663
Lindley, D. V. (1956), "On a measure of information provided by an experiment", Annals of Mathematical Statistics, 27 (4): 986–1005, doi:10.1214/aoms/1177728069
van den Berg; Curtis; Trampert (2003), "Optimal nonlinear Bayesian experimental design: an application to amplitude versus offset experiments", Geophysical Journal International, 155 (2): 411–421, Bibcode:2003GeoJI.155..411V, doi:10.1046/j.1365-246x.2003.02048.x
Ryan, K. J. (2003), "Estimating Expected Information Gains for Experimental Designs With Application to the Random Fatigue-Limit Model", Journal of Computational and Graphical Statistics, 12 (3): 585–603, doi:10.1198/1061860032012, S2CID 119889630
Bania, P. (2019), "Bayesian Input Design for Linear Dynamical Model Discrimination", Entropy, 21 (4): 351, Bibcode:2019Entrp..21..351B, doi:10.3390/e21040351, PMC 7514835, PMID 33267065
Bania, Piotr; Wojcik, Anna (7 October 2025). "An Approximate Bayesian Approach to Optimal Input Signal Design for System Identification". Entropy. 27 (10): 1041. arXiv:2511.04425. Bibcode:2025Entrp..27.1041B. doi:10.3390/e27101041.

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Thibaut; Laloy; Hermans (2021), "A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area", Journal of Hydrology, 603 126903, arXiv:2105.05539, Bibcode:2021JHyd..60326903T, doi:10.1016/j.jhydrol.2021.126903, hdl:1854/LU-8759542, S2CID 234469903

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

ui.adsabs.harvard.edu

Thibaut; Laloy; Hermans (2021), "A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area", Journal of Hydrology, 603 126903, arXiv:2105.05539, Bibcode:2021JHyd..60326903T, doi:10.1016/j.jhydrol.2021.126903, hdl:1854/LU-8759542, S2CID 234469903
Liepe; Filippi; Komorowski; Stumpf (2013), "Maximizing the Information Content of Experiments in Systems Biology", PLOS Computational Biology, 9 (1) e1002888, Bibcode:2013PLSCB...9E2888L, doi:10.1371/journal.pcbi.1002888, PMC 3561087, PMID 23382663
van den Berg; Curtis; Trampert (2003), "Optimal nonlinear Bayesian experimental design: an application to amplitude versus offset experiments", Geophysical Journal International, 155 (2): 411–421, Bibcode:2003GeoJI.155..411V, doi:10.1046/j.1365-246x.2003.02048.x
Bania, P. (2019), "Bayesian Input Design for Linear Dynamical Model Discrimination", Entropy, 21 (4): 351, Bibcode:2019Entrp..21..351B, doi:10.3390/e21040351, PMC 7514835, PMID 33267065
Bania, Piotr; Wojcik, Anna (7 October 2025). "An Approximate Bayesian Approach to Optimal Input Signal Design for System Identification". Entropy. 27 (10): 1041. arXiv:2511.04425. Bibcode:2025Entrp..27.1041B. doi:10.3390/e27101041.

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

ncbi.nlm.nih.gov

Lee, Se Yoon (2024). "Using Bayesian statistics in confirmatory clinical trials in the regulatory setting: a tutorial review". BMC Med Res Methodol. 24 (1) 110. doi:10.1186/s12874-024-02235-0. PMC 11077897. PMID 38714936.
Vanlier; Tiemann; Hilbers; van Riel (2012), "A Bayesian approach to targeted experiment design", Bioinformatics, 28 (8): 1136–1142, doi:10.1093/bioinformatics/bts092, PMC 3324513, PMID 22368245
Liepe; Filippi; Komorowski; Stumpf (2013), "Maximizing the Information Content of Experiments in Systems Biology", PLOS Computational Biology, 9 (1) e1002888, Bibcode:2013PLSCB...9E2888L, doi:10.1371/journal.pcbi.1002888, PMC 3561087, PMID 23382663
Bania, P. (2019), "Bayesian Input Design for Linear Dynamical Model Discrimination", Entropy, 21 (4): 351, Bibcode:2019Entrp..21..351B, doi:10.3390/e21040351, PMC 7514835, PMID 33267065

pubmed.ncbi.nlm.nih.gov

Lee, Se Yoon (2024). "Using Bayesian statistics in confirmatory clinical trials in the regulatory setting: a tutorial review". BMC Med Res Methodol. 24 (1) 110. doi:10.1186/s12874-024-02235-0. PMC 11077897. PMID 38714936.
Vanlier; Tiemann; Hilbers; van Riel (2012), "A Bayesian approach to targeted experiment design", Bioinformatics, 28 (8): 1136–1142, doi:10.1093/bioinformatics/bts092, PMC 3324513, PMID 22368245
Liepe; Filippi; Komorowski; Stumpf (2013), "Maximizing the Information Content of Experiments in Systems Biology", PLOS Computational Biology, 9 (1) e1002888, Bibcode:2013PLSCB...9E2888L, doi:10.1371/journal.pcbi.1002888, PMC 3561087, PMID 23382663
Bania, P. (2019), "Bayesian Input Design for Linear Dynamical Model Discrimination", Entropy, 21 (4): 351, Bibcode:2019Entrp..21..351B, doi:10.3390/e21040351, PMC 7514835, PMID 33267065

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

api.semanticscholar.org

Thibaut; Laloy; Hermans (2021), "A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area", Journal of Hydrology, 603 126903, arXiv:2105.05539, Bibcode:2021JHyd..60326903T, doi:10.1016/j.jhydrol.2021.126903, hdl:1854/LU-8759542, S2CID 234469903
Ryan, K. J. (2003), "Estimating Expected Information Gains for Experimental Designs With Application to the Random Fatigue-Limit Model", Journal of Computational and Graphical Statistics, 12 (3): 585–603, doi:10.1198/1061860032012, S2CID 119889630

uiowa.edu (Global: 3,018^th place; English: 1,865^th place)

stat.uiowa.edu

An approach reviewed in Chaloner, Kathryn; Verdinelli, Isabella (1995), "Bayesian experimental design: a review" (PDF), Statistical Science, 10 (3): 273–304, doi:10.1214/ss/1177009939

Bayesian experimental design (English Wikipedia)

arxiv.org (Global: 69th place; English: 59th place)

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

handle.net (Global: 102nd place; English: 76th place)