Year |
Citation |
Score |
2019 |
Glymour C, Zhang K, Spirtes P. Review of Causal Discovery Methods Based on Graphical Models. Frontiers in Genetics. 10: 524. PMID 31214249 DOI: 10.3389/Fgene.2019.00524 |
0.788 |
|
2019 |
Runge J, Bathiany S, Bollt E, Camps-Valls G, Coumou D, Deyle E, Glymour C, Kretschmer M, Mahecha MD, Muñoz-Marí J, van Nes EH, Peters J, Quax R, Reichstein M, Scheffer M, et al. Inferring causation from time series in Earth system sciences. Nature Communications. 10: 2553. PMID 31201306 DOI: 10.1038/S41467-019-10105-3 |
0.771 |
|
2019 |
Sanchez-Romero R, Ramsey JD, Zhang K, Glymour MRK, Huang B, Glymour C. Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods. Network Neuroscience (Cambridge, Mass.). 3: 274-306. PMID 30793083 DOI: 10.1162/netn_a_00061 |
0.717 |
|
2019 |
Glymour C, Ramsey JD, Zhang K. The Evaluation of Discovery: Models, Simulation and Search through “Big Data” Open Philosophy. 2: 39-48. DOI: 10.1515/opphil-2019-0005 |
0.718 |
|
2018 |
Sedgewick AJ, Buschur K, Shi I, Ramsey JD, Raghu VK, Manatakis DV, Zhang Y, Bon J, Chandra D, Karoleski C, Sciurba FC, Spirtes P, Glymour C, Benos PV. Mixed Graphical Models for Integrative Causal Analysis with Application to Chronic Lung Disease Diagnosis and Prognosis. Bioinformatics (Oxford, England). PMID 30192904 DOI: 10.1093/Bioinformatics/Bty769 |
0.782 |
|
2018 |
Raghu VK, Ramsey JD, Morris A, Manatakis DV, Sprites P, Chrysanthis PK, Glymour C, Benos PV. Comparison of strategies for scalable causal discovery of latent variable models from mixed data. International Journal of Data Science and Analytics. 6: 33-45. PMID 30148202 DOI: 10.1007/S41060-018-0104-3 |
0.726 |
|
2018 |
Zhang K, Schölkopf B, Spirtes P, Glymour C. Learning causality and causality-related learning: some recent progress. National Science Review. 5: 26-29. PMID 30034911 DOI: 10.1093/Nsr/Nwx137 |
0.75 |
|
2017 |
Ramsey J, Glymour M, Sanchez-Romero R, Glymour C. A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images. International Journal of Data Science and Analytics. 3: 121-129. PMID 28393106 DOI: 10.1007/S41060-016-0032-Z |
0.708 |
|
2015 |
Murray-Watters A, Glymour C. What Is Going on Inside the Arrows? Discovering the Hidden Springs in Causal Models. Philosophy of Science. 82: 556-586. PMID 27313331 DOI: 10.1086/682962 |
0.342 |
|
2015 |
Cooper GF, Bahar I, Becich MJ, Benos PV, Berg J, Espino JU, Glymour C, Jacobson RC, Kienholz M, Lee AV, Lu X, Scheines R. The Center for causal discovery of biomedical knowledge from Big Data. Journal of the American Medical Informatics Association : Jamia. PMID 26138794 DOI: 10.1093/Jamia/Ocv059 |
0.661 |
|
2014 |
Ramsey JD, Sanchez-Romero R, Glymour C. Non-Gaussian methods and high-pass filters in the estimation of effective connections. Neuroimage. 84: 986-1006. PMID 24099845 DOI: 10.1016/J.Neuroimage.2013.09.062 |
0.712 |
|
2013 |
Hanson C, Hanson SJ, Ramsey J, Glymour C. Atypical effective connectivity of social brain networks in individuals with autism. Brain Connectivity. 3: 578-89. PMID 24093627 DOI: 10.1089/Brain.2013.0161 |
0.686 |
|
2013 |
Glymour C. Counterfactuals, graphical causal models and potential outcomes: response to Lindquist and Sobel. Neuroimage. 76: 450-1. PMID 21835247 DOI: 10.1016/J.Neuroimage.2011.07.071 |
0.313 |
|
2011 |
Ramsey JD, Hanson SJ, Glymour C. Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study. Neuroimage. 58: 838-48. PMID 21745580 DOI: 10.1016/J.Neuroimage.2011.06.068 |
0.712 |
|
2011 |
Ramsey JD, Spirtes P, Glymour C. On meta-analyses of imaging data and the mixture of records. Neuroimage. 57: 323-30. PMID 20709178 DOI: 10.1016/J.Neuroimage.2010.07.065 |
0.772 |
|
2010 |
Danks D, Fancsali S, Glymour C, Scheines R. Comorbid science? The Behavioral and Brain Sciences. 33: 153-5. PMID 20584373 DOI: 10.1017/S0140525X10000609 |
0.792 |
|
2010 |
Ramsey JD, Hanson SJ, Hanson C, Halchenko YO, Poldrack RA, Glymour C. Six problems for causal inference from fMRI. Neuroimage. 49: 1545-58. PMID 19747552 DOI: 10.1016/J.Neuroimage.2009.08.065 |
0.717 |
|
2010 |
Glymour C, Danks D, Glymour B, Eberhardt F, Ramsey J, Scheines R, Spirtes P, Teng CM, Zhang J. Actual causation: A stone soup essay Synthese. 175: 169-192. DOI: 10.1007/S11229-009-9497-9 |
0.749 |
|
2009 |
Wimberly F, Danks D, Glymour C, Chu T. Problems for structure learning: Aggregation and computational complexity Handbook of Research On Computational Methodologies in Gene Regulatory Networks. 310-332. DOI: 10.4018/978-1-60566-685-3.ch013 |
0.627 |
|
2009 |
Glymour C. JON WILLIAMSON Bayesian Nets and Causality The British Journal For the Philosophy of Science. 60: 849-855. DOI: 10.1093/Bjps/Axp006 |
0.317 |
|
2007 |
Glymour C, Danks D. Reasons as Causes in Bayesian Epistemology The Journal of Philosophy. 104: 464-474. DOI: 10.5840/Jphil200710499 |
0.666 |
|
2007 |
Glymour C. When is a brain like the planet? Philosophy of Science. 74: 330-346. DOI: 10.1086/521968 |
0.321 |
|
2006 |
Eberhardt F, Glymour C, Scheines R. N-1 experiments suffice to determine the causal relations among N variables Studies in Fuzziness and Soft Computing. 194: 97-112. DOI: 10.1007/10985687_4 |
0.594 |
|
2006 |
Silva R, Scheines R, Glymour C, Spirtes P. Learning the structure of linear latent variable models Journal of Machine Learning Research. 7: 191-246. |
0.643 |
|
2005 |
Burgansky-Eliash Z, Wollstein G, Chu T, Ramsey JD, Glymour C, Noecker RJ, Ishikawa H, Schuman JS. Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study. Investigative Ophthalmology & Visual Science. 46: 4147-52. PMID 16249492 DOI: 10.1167/Iovs.05-0366 |
0.684 |
|
2005 |
Eberhardt F, Glymour C, Scheines R. On the number of experiments suficient and in the worst case necessary to identify all causal relations among N variables Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 178-184. |
0.615 |
|
2004 |
Handley D, Serban N, Peters D, O'Doherty R, Field M, Wasserman L, Spirtes P, Scheines R, Glymour C. Evidence of systematic expressed sequence tag IMAGE clone cross-hybridization on cDNA microarrays. Genomics. 83: 1169-75. PMID 15177570 DOI: 10.1016/J.Ygeno.2003.12.010 |
0.747 |
|
2004 |
Gopnik A, Glymour C, Sobel DM, Schulz LE, Kushnir T, Danks D. A theory of causal learning in children: causal maps and Bayes nets. Psychological Review. 111: 3-32. PMID 14756583 DOI: 10.1037/0033-295X.111.1.3 |
0.661 |
|
2003 |
Chu T, Glymour C, Scheines R, Spirtes P. A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays. Bioinformatics (Oxford, England). 19: 1147-52. PMID 12801876 DOI: 10.1093/Bioinformatics/Btg011 |
0.76 |
|
2003 |
Glymour C. Learning, prediction and causal Bayes nets. Trends in Cognitive Sciences. 7: 43-48. PMID 12517358 DOI: 10.1016/S1364-6613(02)00009-8 |
0.321 |
|
2003 |
Fienberg SE, Glymour C, Scheines R. Expert statistical testimony and epidemiological evidence: The toxic effects of lead exposure on children Journal of Econometrics. 113: 33-48. DOI: 10.1016/S0304-4076(02)00165-3 |
0.665 |
|
2002 |
Harrell M, Glymour C. Confirmation and chaos Philosophy of Science. 69: 256-265. DOI: 10.1086/341052 |
0.34 |
|
2002 |
Ramsey J, Gazis P, Roush T, Spirtes P, Glymour C. Automated remote sensing with near infrared reflectance spectra: Carbonate recognition Data Mining and Knowledge Discovery. 6: 277-293. DOI: 10.1023/A:1015421711749 |
0.753 |
|
2002 |
Moody J, Silva R, Vanderwaart J, Ramsey J, Glymour C. Classification and filtering of spectra: A case study in mineralogy Intelligent Data Analysis. 6: 517-530. |
0.652 |
|
2001 |
Spirtes P, Glymour C, Scheines R, Kauffman S, Aimale V, Wimberly F. Constructing Bayesian network models of gene expression networks from microarray data Proceedings of the Atlantic Symposium On Computational Biology and Genome Information Systems and Technolgoy, Cbgist 2001. 255-259. |
0.611 |
|
1998 |
Schienes R, Spirtes P, Glymour C, Meek C, Richardson T. Reply to Comments. Multivariate Behavioral Research. 33: 165-180. PMID 26771759 DOI: 10.1207/S15327906Mbr3301_8 |
0.791 |
|
1998 |
Scheines R, Spirtes P, Glymour C, Meek C, Richardson T. The TETRAD Project: Constraint Based Aids to Causal Model Specification. Multivariate Behavioral Research. 33: 65-117. PMID 26771754 DOI: 10.1207/S15327906Mbr3301_3 |
0.786 |
|
1998 |
Spirtes P, Richardson T, Meek C, Scheines R, Glymour C. Using path diagrams as a structural equation modeling tool Sociological Methods and Research. 27: 182-225. DOI: 10.1177/0049124198027002003 |
0.786 |
|
1998 |
SPIRTES P, RICHARDSON T, MEEK C, SCHEINES R, GLYMOUR C. Using Path Diagrams as a Structural Equation Modeling Tool Sociological Methods & Research. 27: 182-225. DOI: 10.1177/0049124198027002003 |
0.764 |
|
1997 |
Cooper GF, Aliferis CF, Ambrosino R, Aronis J, Buchanan BG, Caruana R, Fine MJ, Glymour C, Gordon G, Hanusa BH, Janosky JE, Meek C, Mitchell T, Richardson T, Spirtes P. An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine. 9: 107-38. PMID 9040894 DOI: 10.1016/S0933-3657(96)00367-3 |
0.763 |
|
1995 |
Fienberg SE, Glymour C, Spirtes P. Discussion of Causal Diagrams for Empirical Research by J. Pearl Biometrika. 82: 690. DOI: 10.2307/2337332 |
0.758 |
|
1995 |
Fienberg SE, Glymour C, Spirtes P. Causal diagrams for empirical research: Discussion of 'causal diagrams for empirical research' by J. Pearl Biometrika. 82: 690-692. DOI: 10.1093/Biomet/82.4.690 |
0.756 |
|
1993 |
Glymour C, Spirtes P. [Bayesian Analysis in Expert Systems]: Comment: Conditional Independence and Causal Inference Statistical Science. 8: 250-257. DOI: 10.1214/Ss/1177010890 |
0.76 |
|
1991 |
Spirtes P, Glymour C. An Algorithm for Fast Recovery of Sparse Causal Graphs Social Science Computer Review. 9: 62-72. DOI: 10.1177/089443939100900106 |
0.749 |
|
1991 |
Glymour C, Spirtes P, Scheines R. Causal inference Erkenntnis. 35: 151-189. DOI: 10.1007/BF00388284 |
0.778 |
|
1991 |
Glymour C. The hierarchies of knowledge and the mathematics of discovery Minds and Machines. 1: 75-95. DOI: 10.1007/Bf00360580 |
0.311 |
|
1991 |
Spirtes P, Glymour C, Scheines R. From probability to causality Philosophical Studies. 64: 1-36. DOI: 10.1007/Bf00356088 |
0.763 |
|
1990 |
Glymour C, Spirtes P, Scheines R. Independence Relations Produced by Parameter Values in Causal Models Philosophical Topics. 18: 55-70. DOI: 10.5840/Philtopics19901823 |
0.766 |
|
1990 |
Spirtes P, Scheines R, Glymour C. Reply to Comments Sociological Methods &Amp; Research. 19: 107-121. DOI: 10.1177/0049124190019001005 |
0.745 |
|
1990 |
Spirtes P, Scheines R, Glymour C. Simulation Studies of the Reliability of Computer–Aided Model Specification Using the TETRAD II, EQS, and LISREL Programs Sociological Methods &Amp; Research. 19: 3-66. DOI: 10.1177/0049124190019001001 |
0.78 |
|
1990 |
Spirtes P, Scheines R, Glymour C. The Tetrad Project Multivariate Behavioral Research. 33: 183-207. DOI: 10.1007/978-94-009-2476-5_13 |
0.76 |
|
1989 |
Pearce SC, Glymour C, Scheines R, Spirtes P, Kelly K. Discovering Causal Structure. Biometrics. 45: 340. DOI: 10.2307/2532061 |
0.768 |
|
1989 |
Henry NW, Glymour C, Scheines R, Spirtes P, Kelly K. Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling Journal of Educational Statistics. 14: 205. DOI: 10.2307/1164612 |
0.778 |
|
1989 |
Glymour C, Scheines R, Spirtes P, Kelly K. Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling Social Science Computer Review. 7: 258. DOI: 10.1177/089443938900700231 |
0.782 |
|
1988 |
Glymour C, Scheines R, Spirtes P. Exploring Causal Structure with the TETRAD Program Sociological Methodology. 18: 411. DOI: 10.2307/271054 |
0.791 |
|
1988 |
Glymour C, Scheines R, Spirtes P, Kelly K. TETRAD: Discovering Causal Structure Multivariate Behavioral Research. 23: 279-280. DOI: 10.1207/S15327906Mbr2302_13 |
0.768 |
|
1988 |
Glymour C, Spirtes P. Latent variables, causal models and overidentifying constraints Journal of Econometrics. 39: 175-198. DOI: 10.1016/0304-4076(88)90044-9 |
0.784 |
|
1986 |
Glymour C. Statistics and Causal Inference: Comment: Statistics and Metaphysics Journal of the American Statistical Association. 81: 964. DOI: 10.2307/2289067 |
0.32 |
|
1986 |
Glymour C, Scheines R. Causal modeling with the TETRAD program Synthese. 68: 37-63. DOI: 10.1007/Bf00413966 |
0.694 |
|
1985 |
Holland PW, Glymour C, Granger C. STATISTICS AND CAUSAL INFERENCE* Ets Research Report Series. 1985: i-72. DOI: 10.1002/J.2330-8516.1985.Tb00125.X |
0.367 |
|
1982 |
Spirtes P, Glymour C. Space-Time and Synonymy Philosophy of Science. 49: 463-477. DOI: 10.1086/289071 |
0.755 |
|
1972 |
Friedman M, Glymour C. If quanta had logic Journal of Philosophical Logic. 1: 16-28. DOI: 10.1007/Bf00649987 |
0.416 |
|
Show low-probability matches. |