Clark Glymour - Publications

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85 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 Huang B, Zhang K, Gong M, Glymour C. Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. Proceedings of Machine Learning Research. 97: 2901-2910. PMID 31497778  0.52
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  1
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  1
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  0.52
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  1
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  0.52
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  1
2017 Huang B, Zhang K, Zhang J, Sanchez-Romero R, Glymour C, Schölkopf B. Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. Proceedings. Ieee International Conference On Data Mining. 2017: 913-918. PMID 31068766 DOI: 10.1109/ICDM.2017.114  0.52
2017 Gong M, Zhang K, Schölkopf B, Glymour C, Tao D. Causal Discovery from Temporally Aggregated Time Series. Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference On Uncertainty in Artificial Intelligence. 2017. PMID 29899680  0.52
2017 Zhang K, Huang B, Zhang J, Glymour C, Schölkopf B. Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination. Ijcai : Proceedings of the Conference. 2017: 1347-1353. PMID 28966540 DOI: 10.24963/ijcai.2017/187  0.52
2016 Gong M, Zhang K, Liu T, Tao D, Glymour C, Schölkopf B. Domain Adaptation with Conditional Transferable Components. Jmlr Workshop and Conference Proceedings. 48: 2839-2848. PMID 28239433  0.52
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  1
2015 Glymour C. Probability and the explanatory virtues British Journal For the Philosophy of Science. 66: 591-604. DOI: 10.1093/bjps/axt051  1
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. DOI: 10.1086/682962  1
2014 Glymour C, Glymour MR. Commentary: race and sex are causes. Epidemiology (Cambridge, Mass.). 25: 488-90. PMID 24887161 DOI: 10.1097/EDE.0000000000000122  1
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  1
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  1
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  1
2013 Glymour C. Theoretical equivalence and the semantic view of theories Philosophy of Science. 80: 286-297. DOI: 10.1086/670261  1
2012 Pedersen AP, Glymour C. What language dependence problem? a reply for Joyce to Fitelson on Joyce Philosophy of Science. 79: 561-574. DOI: 10.1086/667997  1
2012 Glymour C. On the Possibility of Inference to the Best Explanation Journal of Philosophical Logic. 41: 461-469. DOI: 10.1007/s10992-011-9179-1  1
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  1
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  1
2011 Glymour C. Osiander's psychology Behavioral and Brain Sciences. 34: 199-200. DOI: 10.1017/S0140525X11000276  1
2011 Eberhardt F, Glymour C. Hans Reichenbach's Probability Logic Handbook of the History of Logic. 10: 357-389. DOI: 10.1016/B978-0-444-52936-7.50010-0  1
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  1
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  1
2010 Glymour C. Causation and Statistical Inference The Oxford Handbook of Causation. DOI: 10.1093/oxfordhb/9780199279739.003.0024  1
2010 Glymour C. What is right with 'bayes net methods' and what is wrong with 'hunting causes and using them' British Journal For the Philosophy of Science. 61: 161-211. DOI: 10.1093/bjps/axp039  1
2010 Glymour C. Statistical Jokes and Social Effects: Intervention and Invariance in Causal Relations Causal Learning: Psychology, Philosophy, and Computation. DOI: 10.1093/acprof:oso/9780195176803.003.0019  1
2010 Glymour C. Learning the Structure of Deterministic Systems Causal Learning: Psychology, Philosophy, and Computation. DOI: 10.1093/acprof:oso/9780195176803.003.0015  1
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  1
2010 El-Sheikh EM, Perez CA, Glymour C. Using causal modeling for determining connectivity among brain regions Proceedings of the 2010 International Conference On Artificial Intelligence, Icai 2010. 2: 653-659.  1
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  1
2009 Glymour C. Causal modeling, explanation and severe testing: Explanation and truth Error and Inference: Recent Exchanges On Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science. 331-350. DOI: 10.1017/CBO9780511657528.010  1
2009 Tillman RE, Danks D, Glymour C. Integrating locally learned causal structures with overlapping variables Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1665-1672.  1
2008 Glymour B, Glymour C, Glymour M. Watching social science: The debate about the effects of exposure to televised violence on aggressive behavior American Behavioral Scientist. 51: 1231-1259. DOI: 10.1177/0002764207312020  1
2008 Chu T, Glymour C. Search for additive nonlinear time series causal models Journal of Machine Learning Research. 9: 967-991.  1
2007 Schulz LE, Gopnik A, Glymour C. Preschool children learn about causal structure from conditional interventions. Developmental Science. 10: 322-32. PMID 17444973 DOI: 10.1111/j.1467-7687.2007.00587.x  1
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  1
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.  1
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  1
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.  1
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  1
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  1
2004 Glymour C. The automation of discovery Daedalus. 133: 69-77.  1
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  1
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  1
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  1
2002 Harrell M, Glymour C. Confirmation and chaos Philosophy of Science. 69: 256-265. DOI: 10.1086/341052  1
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  1
2002 Glymour C. A semantics and methodology for ceteris paribus hypotheses Erkenntnis. 57: 395-405.  1
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.  1
2001 Gopnik A, Sobel DM, Schulz LE, Glymour C. Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation. Developmental Psychology. 37: 620-9. PMID 11552758  1
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.  1
1999 Glymour C. A mind is a terrible thing to waste - Critical notice: Jaegwon Kim, mind in a physical world Philosophy of Science. 66: 455-471.  1
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  1
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  1
1998 Glymour C. Learning Causes: Psychological Explanations of Causal Explanation Minds and Machines. 8: 39-60.  1
1998 Glymour C. Buy and Use Thinking Things Through Minds and Machines. 23: 309-310.  1
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.  1
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  1
1996 Glymour C, Madigan D, Pregibon D, Smyth P. Statistical Inference and Data Mining Communications of the Acm. 39: 35-41.  1
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  1
1994 Meek C, Glymour C. Conditioning and intervening British Journal For the Philosophy of Science. 45: 1001-1021. DOI: 10.1093/bjps/45.4.1001  1
1994 Glymour C. On the methods of cognitive neuropsychology British Journal For the Philosophy of Science. 45: 815-835. DOI: 10.1093/bjps/45.3.815  1
1992 Kelly KT, Glymour C. Inductive inference from theory laden data Journal of Philosophical Logic. 21: 391-444. DOI: 10.1007/BF00260743  1
1991 Glymour C, Spirtes P, Scheines R. Causal inference Erkenntnis. 35: 151-189. DOI: 10.1007/BF00388284  1
1991 Glymour C. The hierarchies of knowledge and the mathematics of discovery Minds and Machines. 1: 75-95. DOI: 10.1007/BF00360580  1
1991 Spirtes P, Glymour C, Scheines R. From probability to causality Philosophical Studies. 64: 1-36. DOI: 10.1007/BF00356088  1
1991 Spirtes P, Glymour C. An algorithm for fast recovery of sparse causal graphs Social Science Computer Review. 9: 62-72.  1
1990 Kelly KT, Glymour C. Theory discovery from data with mixed quantifiers Journal of Philosophical Logic. 19: 1-33. DOI: 10.1007/BF00211184  1
1988 Glymour C, Scheines R, Spirtes P, Kelly K. TETRAD: Discovering Causal Structure Multivariate Behavioral Research. 23: 279-280. DOI: 10.1207/s15327906mbr2302_13  1
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  1
1986 Glymour C. Comment: Statistics and metaphysics Journal of the American Statistical Association. 81: 964-966. DOI: 10.1080/01621459.1986.10478357  1
1986 Glymour C, Scheines R. Causal modeling with the TETRAD program Synthese. 68: 37-63. DOI: 10.1007/BF00413966  1
1985 Glymour C. Independence assumptions and Bayesian updating Artificial Intelligence. 25: 95-99. DOI: 10.1016/0004-3702(85)90043-8  1
1985 Glymour C. Inductive inference in the limit Erkenntnis. 22: 23-31. DOI: 10.1007/BF00269958  1
1982 Glymour C. Conceptual scheming or confessions of a metaphysical realist Synthese. 51: 169-180. DOI: 10.1007/BF00413826  1
1980 Earman J, Glymour C. The gravitational red shift as a test of general relativity: History and analysis Studies in History and Philosophy of Science. 11: 175-214. DOI: 10.1016/0039-3681(80)90025-4  1
1978 Earman J, Glymour C. Lost in the tensors: Einstein's struggles with covariance principles 1912-1916 Studies in History and Philosophy of Science. 9: 251-278. DOI: 10.1016/0039-3681(78)90008-0  1
1978 Earman J, Glymour C. Einstein and Hilbert: Two months in the history of general relativity Archive For History of Exact Sciences. 19: 291-308. DOI: 10.1007/BF00357583  1
1976 Glymour C. Critical notice: The Interpretation of Quantum Mechanics Canadian Journal of Philosophy. 6: 161-175. DOI: 10.1080/00455091.1976.10716988  0.96
1972 Friedman M, Glymour C. If quanta had logic Journal of Philosophical Logic. 1: 16-28. DOI: 10.1007/BF00649987  0.96
1972 Glymour C. Topology, cosmology and convention Synthese. 24: 195-218. DOI: 10.1007/BF00540149  0.96
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