Testing Independence Between Linear Combinations for Causal Discovery
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Jihong Guan | Kun Zhang | Shuigeng Zhou | Hao Zhang | Ji Zhang | Kun Zhang | J. Guan | Shuigeng Zhou | Ji Zhang | Hao Zhang | Shuigeng Zhou
[1] Mélanie Frappier,et al. The Book of Why: The New Science of Cause and Effect , 2018, Science.
[2] Eric V. Strobl,et al. Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery , 2017, Journal of Causal Inference.
[3] Shuigeng Zhou,et al. Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery , 2018, AAAI.
[4] Y. Lau,et al. Homozygous transcription factor 3 gene (TCF3) mutation is associated with severe hypogammaglobulinemia and B-cell acute lymphoblastic leukemia. , 2017, The Journal of allergy and clinical immunology.
[5] Shuigeng Zhou,et al. Causal Discovery Using Regression-Based Conditional Independence Tests , 2017, AAAI.
[6] Vasant Honavar,et al. Self-Discrepancy Conditional Independence Test , 2017, UAI.
[7] Daniel M. Kane,et al. A New Approach for Testing Properties of Discrete Distributions , 2016, 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS).
[8] Bernhard Schölkopf,et al. Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach , 2016, NeuroImage.
[9] Bernhard Schölkopf,et al. On Estimation of Functional Causal Models , 2015, ACM Trans. Intell. Syst. Technol..
[10] Alexander J. Smola,et al. Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference , 2015, ACM Trans. Intell. Syst. Technol..
[11] Bernhard Schölkopf,et al. A Permutation-Based Kernel Conditional Independence Test , 2014, UAI.
[12] Joseph Ramsey,et al. A Scalable Conditional Independence Test for Nonlinear, Non-Gaussian Data , 2014, ArXiv.
[13] Peter J. F. Lucas,et al. Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare , 2014, Int. J. Approx. Reason..
[14] Ruichu Cai,et al. Causal gene identification using combinatorial V-structure search , 2013, Neural Networks.
[15] Ruichu Cai,et al. SADA: A General Framework to Support Robust Causation Discovery , 2013, ICML.
[16] Bernhard Schölkopf,et al. Identifiability of Causal Graphs using Functional Models , 2011, UAI.
[17] Bernhard Schölkopf,et al. Kernel-based Conditional Independence Test and Application in Causal Discovery , 2011, UAI.
[18] Aapo Hyvärinen,et al. DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model , 2011, J. Mach. Learn. Res..
[19] Aapo Hyvärinen,et al. On the Identifiability of the Post-Nonlinear Causal Model , 2009, UAI.
[20] H. White,et al. A NONPARAMETRIC HELLINGER METRIC TEST FOR CONDITIONAL INDEPENDENCE , 2008, Econometric Theory.
[21] Bernhard Schölkopf,et al. Kernel Measures of Conditional Dependence , 2007, NIPS.
[22] Yanqing Zhang,et al. Development of Two-Stage SVM-RFE Gene Selection Strategy for Microarray Expression Data Analysis , 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[23] S. Higashiyama,et al. Effects of promyelocytic leukemia zinc finger protein on the proliferation of cultured human corneal endothelial cells , 2007, Molecular vision.
[24] P. Bühlmann,et al. Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm , 2005, J. Mach. Learn. Res..
[25] Bernhard Schölkopf,et al. A Kernel Method for the Two-Sample-Problem , 2006, NIPS.
[26] Stephen T. C. Wong,et al. Cancer classification and prediction using logistic regression with Bayesian gene selection , 2004, J. Biomed. Informatics.
[27] Tom Burr,et al. Causation, Prediction, and Search , 2003, Technometrics.
[28] T. Gilmore,et al. Zyxin and paxillin proteins: focal adhesion plaque LIM domain proteins go nuclear. , 2003, Biochimica et biophysica acta.
[29] I. Bernstein,et al. Efficacy and safety of gemtuzumab ozogamicin in patients with CD33-positive acute myeloid leukemia in first relapse. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[30] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[31] A. A. Thompson,et al. Aberrations of the B-cell receptor B29 (CD79b) gene in chronic lymphocytic leukemia. , 1997, Blood.
[32] Y. Miura,et al. Sensitivity and applicability of different methods for detection of terminal transferase in leukemia. , 1996, Leukemia.
[33] J. Daudin. Partial association measures and an application to qualitative regression , 1980 .
[34] B. Turowska,et al. Distribution of the ABO and Rh D blood groups in patients with leukemia. , 1970, Polish medical science and history bulletin.
[35] E. Lukács,et al. A Property of the Normal Distribution , 1954 .
[36] G. Darmois,et al. Analyse générale des liaisons stochastiques: etude particulière de l'analyse factorielle linéaire , 1953 .
[37] Illtyd Trethowan. Causality , 1938 .