Clark Glymour - Publications

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62 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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
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