{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T16:25:31Z","timestamp":1772295931733,"version":"3.50.1"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319114323","type":"print"},{"value":"9783319114330","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-11433-0_25","type":"book-chapter","created":{"date-parts":[[2014,9,11]],"date-time":"2014-09-11T03:30:38Z","timestamp":1410406238000},"page":"382-395","source":"Crossref","is-referenced-by-count":4,"title":["Learning Marginal AMP Chain Graphs under Faithfulness"],"prefix":"10.1007","author":[{"given":"Jose M.","family":"Pe\u00f1a","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1111\/1467-9469.00224","volume":"28","author":"S.A. Andersson","year":"2001","unstructured":"Andersson, S.A., Madigan, D., Perlman, M.D.: Alternative Markov Properties for Chain Graphs. Scandinavian Journal of Statistics\u00a028, 33\u201385 (2001)","journal-title":"Scandinavian Journal of Statistics"},{"key":"25_CR2","first-page":"507","volume":"3","author":"D.M. Chickering","year":"2002","unstructured":"Chickering, D.M.: Optimal Structure Identification with Greedy Search. Journal of Machine Learning Research\u00a03, 507\u2013554 (2002)","journal-title":"Journal of Machine Learning Research"},{"key":"25_CR3","unstructured":"Chickering, D.M., Meek, C.: Finding Optimal Bayesian Networks. In: Proceedings of 18th Conference on Uncertainty in Artificial Intelligence, pp. 94\u2013102 (2002)"},{"key":"25_CR4","unstructured":"Cox, D.R., Wermuth, N.: Multivariate Dependencies - Models, Analysis and Interpretation. Chapman & Hall (1996)"},{"key":"25_CR5","first-page":"817","volume":"8","author":"J.T.A. Koster","year":"2002","unstructured":"Koster, J.T.A.: Marginalizing and Conditioning in Graphical Models. Bernoulli\u00a08, 817\u2013840 (2002)","journal-title":"Bernoulli"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Lauritzen, S.L.: Graphical Models. Oxford University Press (1996)","DOI":"10.1093\/oso\/9780198522195.001.0001"},{"key":"25_CR7","first-page":"2847","volume":"9","author":"Z. Ma","year":"2008","unstructured":"Ma, Z., Xie, X., Geng, Z.: Structural Learning of Chain Graphs via Decomposition. Journal of Machine Learning Research\u00a09, 2847\u20132880 (2008)","journal-title":"Journal of Machine Learning Research"},{"key":"25_CR8","unstructured":"Meek, C.: Graphical Models: Selecting Causal and Statistical Models. PhD thesis, Carnegie Mellon University (1997)"},{"key":"25_CR9","unstructured":"Nielsen, J.D., Ko\u010dka, T., Pe\u00f1a, J.M.: On Local Optima in Learning Bayesian Networks. In: Proceedings of the 19th Conference on Uncertainty in Artificial Intelligence, pp. 435\u2013442 (2003)"},{"key":"25_CR10","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1016\/j.ijar.2014.01.003","volume":"55","author":"J.M. Pe\u00f1a","year":"2014","unstructured":"Pe\u00f1a, J.M.: Learning AMP Chain Graphs and some Marginal Models Thereof under Faithfulness. International Journal of Approximate Reasoning\u00a055, 1011\u20131021 (2014)","journal-title":"International Journal of Approximate Reasoning"},{"key":"25_CR11","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1016\/j.ijar.2014.03.003","volume":"55","author":"J.M. Pe\u00f1a","year":"2014","unstructured":"Pe\u00f1a, J.M., Marginal, A.M.P.: Chain Graphs. International Journal of Approximate Reasoning\u00a055, 1185\u20131206 (2014)","journal-title":"International Journal of Approximate Reasoning"},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"Pe\u00f1a, J.M.: Learning Multivariate Regression Chain Graphs under Faithfulness: Addendum. Available at the author\u2019s website (2014)","DOI":"10.1007\/978-3-319-11433-0_25"},{"key":"25_CR13","unstructured":"Pe\u00f1a, J.M., Sonntag, D., Nielsen, J.D.: An Inclusion Optimal Algorithm for Chain Graph Structure Learning. In: Proceedings of the 17th International Conference on Artificial Intelligence and Statistics, pp. 778\u2013786 (2014)"},{"key":"25_CR14","doi-asserted-by":"publisher","first-page":"962","DOI":"10.1214\/aos\/1031689015","volume":"30","author":"T. Richardson","year":"2002","unstructured":"Richardson, T., Spirtes, P.: Ancestral Graph Markov Models. The Annals of Statistics\u00a030, 962\u20131030 (2002)","journal-title":"The Annals of Statistics"},{"key":"25_CR15","doi-asserted-by":"publisher","first-page":"676","DOI":"10.3150\/12-BEJ502","volume":"20","author":"K. Sadeghi","year":"2014","unstructured":"Sadeghi, K., Lauritzen, S.L.: Markov Properties for Mixed Graphs. Bernoulli\u00a020, 676\u2013696 (2014)","journal-title":"Bernoulli"},{"key":"25_CR16","unstructured":"Sonntag, D., Pe\u00f1a, J.M.: Learning Multivariate Regression Chain Graphs under Faithfulness. In: Proceedings of the 6th European Workshop on Probabilistic Graphical Models, pp. 299\u2013306 (2012)"},{"key":"25_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1007\/978-3-642-39091-3_43","volume-title":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty","author":"D. Sonntag","year":"2013","unstructured":"Sonntag, D., Pe\u00f1a, J.M.: Chain graph interpretations and their relations. In: van der Gaag, L.C. (ed.) ECSQARU 2013. LNCS, vol.\u00a07958, pp. 510\u2013521. Springer, Heidelberg (2013)"},{"key":"25_CR18","doi-asserted-by":"crossref","unstructured":"Spirtes, P., Glymour, C., Scheines, R.: Causation, Prediction, and Search. Springer (1993)","DOI":"10.1007\/978-1-4612-2748-9"},{"key":"25_CR19","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/S0888-613X(97)00018-2","volume":"17","author":"M. Studen\u00fd","year":"1997","unstructured":"Studen\u00fd, M.: A Recovery Algorithm for Chain Graphs. International Journal of Approximate Reasoning\u00a017, 265\u2013293 (1997a)","journal-title":"International Journal of Approximate Reasoning"},{"key":"25_CR20","unstructured":"Studen\u00fd, M.: Probabilistic Conditional Independence Structures. Springer (2005)"}],"container-title":["Lecture Notes in Computer Science","Probabilistic Graphical Models"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-11433-0_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T11:33:06Z","timestamp":1717327986000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-11433-0_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319114323","9783319114330"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-11433-0_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}