PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of Bone Metabolism10.11005/jbm.2019.26.1.61201926161Erratum to: Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian NetworksSung Bae Park, Chun Kee Chung, Efrain Gonzalez, Changwon Yoohttps://synapse.koreamed.org/pdf/10.11005/jbm.2019.26.1.61, https://synapse.koreamed.org/DOIx.php?id=10.11005/jbm.2019.26.1.61, https://synapse.koreamed.org/DOIx.php?id=10.11005/jbm.2019.26.1.61
Journal of Bone Metabolism10.11005/jbm.2018.25.4.2512018254251Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian NetworksSung Bae Park, Chun Kee Chung, Efrain Gonzalez, Changwon Yoohttps://synapse.koreamed.org/pdf/10.11005/jbm.2018.25.4.251, https://synapse.koreamed.org/DOIx.php?id=10.11005/jbm.2018.25.4.251, https://synapse.koreamed.org/DOIx.php?id=10.11005/jbm.2018.25.4.251
Clinical & Experimental Metastasis10.1007/s10585-020-10060-02020376657-674Causal Bayesian gene networks associated with bone, brain and lung metastasis of breast cancerSung Bae Park, Ki-Tae Hwang, Chun Kee Chung, Deodutta Roy, Changwon Yoohttps://link.springer.com/content/pdf/10.1007/s10585-020-10060-0.pdf, https://link.springer.com/article/10.1007/s10585-020-10060-0/fulltext.html, https://link.springer.com/content/pdf/10.1007/s10585-020-10060-0.pdf
Biotechnology Progress10.1002/btpr.22302016322470-479Identifying causal networks linking cancer processes and anti-tumor immunity using Bayesian network inference and metagene constructsJacob L. Kaiser, Cassidy L. Bland, David J. Klinkehttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fbtpr.2230, http://onlinelibrary.wiley.com/wol1/doi/10.1002/btpr.2230/fullpdf
2022 Annual Reliability and Maintainability Symposium (RAMS)10.1109/rams51457.2022.98939922022Causal Inference in Longitudinal Studies Using Causal Bayesian Network with Latent VariablesPhat Huynh, Leah Irish, Om Prakash Yadav, Arveity Setty, Trung Tim Q. Lehttp://xplorestaging.ieee.org/ielx7/9893903/9893894/09893992.pdf?arnumber=9893992
Case Studies and Causal Inference10.1057/9781137271327_82012180-199Frequentist and Bayesian Causal Inference in Tests of HypothesesIngo Rohlfinghttp://link.springer.com/content/pdf/10.1057/9781137271327_8
Journal of Causal Inference10.1515/jci-2022-00252023111Randomization-based, Bayesian inference of causal effectsThomas Leavitthttps://www.degruyter.com/document/doi/10.1515/jci-2022-0025/xml, https://www.degruyter.com/document/doi/10.1515/jci-2022-0025/pdf
Bayesian Inference10.5772/intechopen.703932017Bayesian Two-Stage Robust Causal Modeling with Instrumental Variables using Student's t DistributionsDingjing Shi, Xin Tonghttp://www.intechopen.com/download/pdf/56761
2021 IEEE 19th International Conference on Industrial Informatics (INDIN)10.1109/indin45523.2021.95574902021A Framework for Fault Diagnosis using Continuous Bayesian Network and Causal InferenceAsif Hanif, Saad Ali, Ali Ahmedhttp://xplorestaging.ieee.org/ielx7/9557349/9557353/09557490.pdf?arnumber=9557490
Annals of the New York Academy of Sciences10.1111/j.1749-6632.2008.03749.x20091158193-101The Five-Gene-Network Data Analysis with Local Causal Discovery Algorithm Using Causal Bayesian NetworksChangwon Yoo, Erik M. Brilzhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1749-6632.2008.03749.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1749-6632.2008.03749.x/fullpdf