Exploratory causal analysis (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Exploratory causal analysis" in English language version.

refsWebsite

Global rank English rank

18doi.org

2^nd place

9nih.gov

4^th place

8semanticscholar.org

11^th place

8^th place

4arxiv.org

69^th place

59^th place

4harvard.edu

18^th place

17^th place

1ghostarchive.org

32^nd place

21^st place

1ceu.edu

low place

1oxfordhandbooks.com

5,520^th place

3,524^th place

1jstor.org

26^th place

20^th place

1nobelprize.org

301^st place

478^th place

1cam.ac.uk

670^th place

480^th place

1cmu.edu

1,564^th place

1,028^th place

1pitt.edu

1,476^th place

1,056^th place

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

Guo, Ruocheng; Cheng, Lu; Li, Jundong; Hahn, P. Richard; Liu, Huan (2020). "A Survey of Learning Causality with Data". ACM Computing Surveys. 53 (4): 1–37. arXiv:1809.09337. doi:10.1145/3397269. S2CID 52822969.
Yu, Kui; Li, Jiuyong; Liu, Lin; Richard Hahn, P.; Liu, Huan (2016). "A review on algorithms for constraint-based causal discovery". arXiv:1611.03977 [cs.AI].
Sun, Jie; Bollt, Erik M.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings". Physica D: Nonlinear Phenomena. 267: 49–57. arXiv:1504.03769. Bibcode:2014PhyD..267...49S. doi:10.1016/j.physd.2013.07.001. S2CID 14422483.
McCracken, J. M.; Weigel, R. S.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Convergent cross-mapping and pairwise asymmetric inference". Phys. Rev. E. 90 (6) 062903. arXiv:1407.5696. Bibcode:2014PhRvE..90f2903M. doi:10.1103/PhysRevE.90.062903. PMID 25615160. S2CID 7506718.

cam.ac.uk (Global: 670^th place; English: 480^th place)

mlg.eng.cam.ac.uk

Scheines, R. (1997). "An introduction to causal inference" (PDF). Causality in Crisis: 185–199.

ceu.edu (Global: low place; English: low place)

publications.ceu.edu

Rohlfing, Ingo; Schneider, Carsten Q. (2018). "A Unifying Framework for Causal Analysis in Set-Theoretic Multimethod Research" (PDF). Sociological Methods & Research. 47 (1): 37–63. doi:10.1177/0049124115626170. S2CID 124804330. Archived from the original (PDF) on 9 October 2022. Retrieved 29 February 2020.

cmu.edu (Global: 1,564^th place; English: 1,028^th place)

phil.cmu.edu

"Causal Models and Statistical Data, The Tetrad Project".

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

Rohlfing, Ingo; Schneider, Carsten Q. (2018). "A Unifying Framework for Causal Analysis in Set-Theoretic Multimethod Research" (PDF). Sociological Methods & Research. 47 (1): 37–63. doi:10.1177/0049124115626170. S2CID 124804330. Archived from the original (PDF) on 9 October 2022. Retrieved 29 February 2020.
Brady, Henry E. (7 July 2011). "Causation and Explanation in Social Science". The Oxford Handbook of Political Science: 1054–1107. doi:10.1093/oxfordhb/9780199604456.013.0049. ISBN 978-0-19-960445-6. Retrieved 29 February 2020.
Stone, R. (1993). "The Assumptions on Which Causal Inferences Rest". Journal of the Royal Statistical Society. Series B (Methodological). 55 (2): 455–466. doi:10.1111/j.2517-6161.1993.tb01915.x.
Granger, C (1980). "Testing for causality: a personal viewpoint". Journal of Economic Dynamics and Control. 2: 329–352. doi:10.1016/0165-1889(80)90069-X.
Granger, C. W. J. (1969). "Investigating Causal Relations by Econometric Models and Cross-spectral Methods". Econometrica. 37 (3): 424–438. doi:10.2307/1912791. JSTOR 1912791.
Spirtes, P.; Glymour, C. (1991). "An algorithm for fast recovery of sparse causal graphs". Social Science Computer Review. 9 (1): 62–72. doi:10.1177/089443939100900106. S2CID 38398322.
Guo, Ruocheng; Cheng, Lu; Li, Jundong; Hahn, P. Richard; Liu, Huan (2020). "A Survey of Learning Causality with Data". ACM Computing Surveys. 53 (4): 1–37. arXiv:1809.09337. doi:10.1145/3397269. S2CID 52822969.
Malinsky, Daniel; Danks, David (2018). "Causal discovery algorithms: A practical guide". Philosophy Compass. 13 (1) e12470. doi:10.1111/phc3.12470.
Spirtes, P.; Zhang, K. (2016). "Causal discovery and inference: concepts and recent methodological advances". Appl Inform (Berl). 3 3. doi:10.1186/s40535-016-0018-x. PMC 4841209. PMID 27195202.
Sun, Jie; Bollt, Erik M.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings". Physica D: Nonlinear Phenomena. 267: 49–57. arXiv:1504.03769. Bibcode:2014PhyD..267...49S. doi:10.1016/j.physd.2013.07.001. S2CID 14422483.
Freedman, David; Humphreys, Paul (1999). "Are there algorithms that discover causal structure?". Synthese. 121 (1–2): 29–54. doi:10.1023/A:1005277613752. S2CID 6826436.
Raghu, V. K.; Ramsey, J. D.; Morris, A.; Manatakis, D. V.; Sprites, P.; Chrysanthis, P. K.; Glymour, C.; Benos, P. V. (2018). "Comparison of strategies for scalable causal discovery of latent variable models from mixed data". International Journal of Data Science and Analytics. 6 (33): 33–45. doi:10.1007/s41060-018-0104-3. PMC 6096780. PMID 30148202.
Shimizu, S (2014). "LiNGAM: non-Gaussian methods for estimating causal structures". Behaviormetrika. 41 (1): 65–98. doi:10.2333/bhmk.41.65. S2CID 49238101.
Cheek, C.; Zheng, H.; Hallstrom, B. R.; Hughes, R. E. (2018). "Application of a Causal Discovery Algorithm to the Analysis of Arthroplasty Registry Data". Biomedical Engineering and Computational Biology. 9 1179597218756896: 117959721875689. doi:10.1177/1179597218756896. PMC 5826097. PMID 29511363.
Wen, X.; Rangarajan, G.; Ding, M. (2013). "Is Granger Causality a Viable Technique for Analyzing fMRI Data?". PLOS ONE. 8 (7) e67428. Bibcode:2013PLoSO...867428W. doi:10.1371/journal.pone.0067428. PMC 3701552. PMID 23861763.
Ebert-Uphoff, Imme; Deng, Yi (2017). "Causal discovery in the geosciences—Using synthetic data to learn how to interpret results". Computers & Geosciences. 99: 50–60. Bibcode:2017CG.....99...50E. doi:10.1016/j.cageo.2016.10.008.
McCracken, J. M.; Weigel, R. S.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Convergent cross-mapping and pairwise asymmetric inference". Phys. Rev. E. 90 (6) 062903. arXiv:1407.5696. Bibcode:2014PhRvE..90f2903M. doi:10.1103/PhysRevE.90.062903. PMID 25615160. S2CID 7506718.
Holland, P. W. (1986). "Statistics and causal inference". Journal of the American Statistical Association. 81 (396): 945–960. doi:10.1080/01621459.1986.10478354. S2CID 14377504.

ghostarchive.org (Global: 32^nd place; English: 21^st place)

Rohlfing, Ingo; Schneider, Carsten Q. (2018). "A Unifying Framework for Causal Analysis in Set-Theoretic Multimethod Research" (PDF). Sociological Methods & Research. 47 (1): 37–63. doi:10.1177/0049124115626170. S2CID 124804330. Archived from the original (PDF) on 9 October 2022. Retrieved 29 February 2020.

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

ui.adsabs.harvard.edu

Sun, Jie; Bollt, Erik M.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings". Physica D: Nonlinear Phenomena. 267: 49–57. arXiv:1504.03769. Bibcode:2014PhyD..267...49S. doi:10.1016/j.physd.2013.07.001. S2CID 14422483.
Wen, X.; Rangarajan, G.; Ding, M. (2013). "Is Granger Causality a Viable Technique for Analyzing fMRI Data?". PLOS ONE. 8 (7) e67428. Bibcode:2013PLoSO...867428W. doi:10.1371/journal.pone.0067428. PMC 3701552. PMID 23861763.
Ebert-Uphoff, Imme; Deng, Yi (2017). "Causal discovery in the geosciences—Using synthetic data to learn how to interpret results". Computers & Geosciences. 99: 50–60. Bibcode:2017CG.....99...50E. doi:10.1016/j.cageo.2016.10.008.
McCracken, J. M.; Weigel, R. S.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Convergent cross-mapping and pairwise asymmetric inference". Phys. Rev. E. 90 (6) 062903. arXiv:1407.5696. Bibcode:2014PhRvE..90f2903M. doi:10.1103/PhysRevE.90.062903. PMID 25615160. S2CID 7506718.

jstor.org (Global: 26^th place; English: 20^th place)

Granger, C. W. J. (1969). "Investigating Causal Relations by Econometric Models and Cross-spectral Methods". Econometrica. 37 (3): 424–438. doi:10.2307/1912791. JSTOR 1912791.

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

pubmed.ncbi.nlm.nih.gov

Spirtes, P.; Zhang, K. (2016). "Causal discovery and inference: concepts and recent methodological advances". Appl Inform (Berl). 3 3. doi:10.1186/s40535-016-0018-x. PMC 4841209. PMID 27195202.
Raghu, V. K.; Ramsey, J. D.; Morris, A.; Manatakis, D. V.; Sprites, P.; Chrysanthis, P. K.; Glymour, C.; Benos, P. V. (2018). "Comparison of strategies for scalable causal discovery of latent variable models from mixed data". International Journal of Data Science and Analytics. 6 (33): 33–45. doi:10.1007/s41060-018-0104-3. PMC 6096780. PMID 30148202.
Cheek, C.; Zheng, H.; Hallstrom, B. R.; Hughes, R. E. (2018). "Application of a Causal Discovery Algorithm to the Analysis of Arthroplasty Registry Data". Biomedical Engineering and Computational Biology. 9 1179597218756896: 117959721875689. doi:10.1177/1179597218756896. PMC 5826097. PMID 29511363.
Wen, X.; Rangarajan, G.; Ding, M. (2013). "Is Granger Causality a Viable Technique for Analyzing fMRI Data?". PLOS ONE. 8 (7) e67428. Bibcode:2013PLoSO...867428W. doi:10.1371/journal.pone.0067428. PMC 3701552. PMID 23861763.
McCracken, J. M.; Weigel, R. S.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Convergent cross-mapping and pairwise asymmetric inference". Phys. Rev. E. 90 (6) 062903. arXiv:1407.5696. Bibcode:2014PhRvE..90f2903M. doi:10.1103/PhysRevE.90.062903. PMID 25615160. S2CID 7506718.

ncbi.nlm.nih.gov

Spirtes, P.; Zhang, K. (2016). "Causal discovery and inference: concepts and recent methodological advances". Appl Inform (Berl). 3 3. doi:10.1186/s40535-016-0018-x. PMC 4841209. PMID 27195202.
Raghu, V. K.; Ramsey, J. D.; Morris, A.; Manatakis, D. V.; Sprites, P.; Chrysanthis, P. K.; Glymour, C.; Benos, P. V. (2018). "Comparison of strategies for scalable causal discovery of latent variable models from mixed data". International Journal of Data Science and Analytics. 6 (33): 33–45. doi:10.1007/s41060-018-0104-3. PMC 6096780. PMID 30148202.
Cheek, C.; Zheng, H.; Hallstrom, B. R.; Hughes, R. E. (2018). "Application of a Causal Discovery Algorithm to the Analysis of Arthroplasty Registry Data". Biomedical Engineering and Computational Biology. 9 1179597218756896: 117959721875689. doi:10.1177/1179597218756896. PMC 5826097. PMID 29511363.
Wen, X.; Rangarajan, G.; Ding, M. (2013). "Is Granger Causality a Viable Technique for Analyzing fMRI Data?". PLOS ONE. 8 (7) e67428. Bibcode:2013PLoSO...867428W. doi:10.1371/journal.pone.0067428. PMC 3701552. PMID 23861763.

nobelprize.org (Global: 301^st place; English: 478^th place)

Granger, Clive. "Prize Lecture. NobelPrize.org. Nobel Media AB 2018".

oxfordhandbooks.com (Global: 5,520^th place; English: 3,524^th place)

Brady, Henry E. (7 July 2011). "Causation and Explanation in Social Science". The Oxford Handbook of Political Science: 1054–1107. doi:10.1093/oxfordhb/9780199604456.013.0049. ISBN 978-0-19-960445-6. Retrieved 29 February 2020.

pitt.edu (Global: 1,476^th place; English: 1,056^th place)

ccd.pitt.edu

"Tools, Center for Causal Discovery, University of Pittsburgh". 10 August 2016.

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

api.semanticscholar.org

Rohlfing, Ingo; Schneider, Carsten Q. (2018). "A Unifying Framework for Causal Analysis in Set-Theoretic Multimethod Research" (PDF). Sociological Methods & Research. 47 (1): 37–63. doi:10.1177/0049124115626170. S2CID 124804330. Archived from the original (PDF) on 9 October 2022. Retrieved 29 February 2020.
Spirtes, P.; Glymour, C. (1991). "An algorithm for fast recovery of sparse causal graphs". Social Science Computer Review. 9 (1): 62–72. doi:10.1177/089443939100900106. S2CID 38398322.
Guo, Ruocheng; Cheng, Lu; Li, Jundong; Hahn, P. Richard; Liu, Huan (2020). "A Survey of Learning Causality with Data". ACM Computing Surveys. 53 (4): 1–37. arXiv:1809.09337. doi:10.1145/3397269. S2CID 52822969.
Sun, Jie; Bollt, Erik M.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings". Physica D: Nonlinear Phenomena. 267: 49–57. arXiv:1504.03769. Bibcode:2014PhyD..267...49S. doi:10.1016/j.physd.2013.07.001. S2CID 14422483.
Freedman, David; Humphreys, Paul (1999). "Are there algorithms that discover causal structure?". Synthese. 121 (1–2): 29–54. doi:10.1023/A:1005277613752. S2CID 6826436.
Shimizu, S (2014). "LiNGAM: non-Gaussian methods for estimating causal structures". Behaviormetrika. 41 (1): 65–98. doi:10.2333/bhmk.41.65. S2CID 49238101.
McCracken, J. M.; Weigel, R. S.; Li, Jundong; Richard Hahn, P.; Liu, Huan (2014). "Convergent cross-mapping and pairwise asymmetric inference". Phys. Rev. E. 90 (6) 062903. arXiv:1407.5696. Bibcode:2014PhRvE..90f2903M. doi:10.1103/PhysRevE.90.062903. PMID 25615160. S2CID 7506718.
Holland, P. W. (1986). "Statistics and causal inference". Journal of the American Statistical Association. 81 (396): 945–960. doi:10.1080/01621459.1986.10478354. S2CID 14377504.

Exploratory causal analysis (English Wikipedia)

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

cam.ac.uk (Global: 670th place; English: 480th place)

mlg.eng.cam.ac.uk

ceu.edu (Global: low place; English: low place)

publications.ceu.edu

cmu.edu (Global: 1,564th place; English: 1,028th place)

phil.cmu.edu

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

ghostarchive.org (Global: 32nd place; English: 21st place)

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