{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:10:43Z","timestamp":1761487843440,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540424642"},{"type":"electronic","value":"9783540446521"}],"license":[{"start":{"date-parts":[[2001,1,1]],"date-time":"2001-01-01T00:00:00Z","timestamp":978307200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2001]]},"DOI":"10.1007\/3-540-44652-4_15","type":"book-chapter","created":{"date-parts":[[2007,6,1]],"date-time":"2007-06-01T04:39:07Z","timestamp":1180672747000},"page":"156-167","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":72,"title":["Mixtures of Truncated Exponentials in Hybrid Bayesian Networks"],"prefix":"10.1007","author":[{"given":"Seraf\u00edn","family":"Moral","sequence":"first","affiliation":[]},{"given":"Rafael","family":"Rumi","sequence":"additional","affiliation":[]},{"given":"Antonio","family":"Salmer\u00f3n","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2001,8,30]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"1027","DOI":"10.1002\/1098-111X(200011)15:11<1027::AID-INT4>3.0.CO;2-#","volume":"15","author":"A. Cano","year":"2000","unstructured":"A. Cano, S. Moral, and A. Salmer\u00f3n. Penniless propagation in join trees. International Journal of Intelligent Systems, 15:1027\u20131059, 2000.","journal-title":"International Journal of Intelligent Systems"},{"key":"15_CR2","first-page":"269","volume":"4","author":"F.V. Jensen","year":"1990","unstructured":"F.V. Jensen, S.L. Lauritzen, and K.G. Olesen. Bayesian updating in causal probabilistic networks by local computation. Gomput Stat Quarterly, 4:269\u2013282, 1990.","journal-title":"Gomput Stat Quarterly"},{"unstructured":"D. Koller, U. Lerner, and D. Anguelov. A general algorithm for approximate inference and its application to hybrid Bayes nets. In K.B. Laskey and H. Prade, editors, Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, pages 324\u2013333. Morgan & Kauffman, 1999.","key":"15_CR3"},{"unstructured":"D. Kozlov and D. Koller. Nonuniform dynamic discretization in hybrid networks. In D. Geiger and P.P. Shenoy, editors, Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence, pages 302\u2013313. Morgan & Kauffman, 1997.","key":"15_CR4"},{"key":"15_CR5","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.2307\/2290647","volume":"87","author":"S.L. Lauritzen","year":"1992","unstructured":"S.L. Lauritzen. Propagation of probabilities, means and variances in mixed graphical association models. Journal of the American Statistical Association, 87:1098\u20131108, 1992.","journal-title":"Journal of the American Statistical Association"},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1023\/A:1008935617754","volume":"11","author":"S.L. Lauritzen","year":"2001","unstructured":"S.L. Lauritzen and F. Jensen. Stable local computation with conditional Gaussian distributions. Statistics and Computing, 11:191\u2013203, 2001.","journal-title":"Statistics and Computing"},{"key":"15_CR7","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1111\/j.2517-6161.1988.tb01721.x","volume":"50","author":"S.L. Lauritzen","year":"1988","unstructured":"S.L. Lauritzen and D.J. Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society, Series B, 50:157\u2013224, 1988.","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"15_CR8","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/S0004-3702(99)00062-4","volume":"113","author":"A.L. Madsen","year":"1999","unstructured":"A.L. Madsen and F.V. Jensen. Lazy propagation: a junction tree inference algorithm based on lazy evaluation. Artif Intell, 113:203\u2013245, 1999.","journal-title":"Artif Intell"},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1109\/34.204909","volume":"15","author":"K.G. Olesen","year":"1993","unstructured":"K.G. Olesen. Causal probabilistic networks with both discrete and continuous variables. IEEE Trans on Pattern Analysis and Machine Intell, 15:275\u2013279, 1993.","journal-title":"IEEE Trans on Pattern Analysis and Machine Intell"},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/0004-3702(87)90012-9","volume":"32","author":"J. Pearl","year":"1987","unstructured":"J. Pearl. Evidential reasoning using stochastic simulation of causal models. Artificial Intelligence, 32:247\u2013257, 1987.","journal-title":"Artificial Intelligence"},{"doi-asserted-by":"crossref","unstructured":"R.Y. Rubinstein. Simulation and the Monte Carlo Method. Wiley, 1981.","key":"15_CR11","DOI":"10.1002\/9780470316511"},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/S0167-9473(99)00110-3","volume":"34","author":"A. Salmer\u00f3n","year":"2000","unstructured":"A. Salmer\u00f3n, A. Cano, and S. Moral. Importance sampling in Bayesian networks using probability trees. Computational Statistics and Data Analysis, 34:387\u2013413, 2000.","journal-title":"Computational Statistics and Data Analysis"},{"key":"15_CR13","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/B978-0-444-88650-7.50019-6","volume-title":"Uncertainty in Artificial Intelligence","author":"P.P. Shenoy","year":"1990","unstructured":"P.P. Shenoy and G. Shafer. Axioms for probability and belief function propagation. In R.D. Shachter, T.S. Levitt, J.F. Lemmer, and L.N. Kanal, editors, Uncertainty in Artificial Intelligence 4, pages 169\u2013198. North Holland, Amsterdam, 1990."}],"container-title":["Lecture Notes in Computer Science","Symbolic and Quantitative Approaches to Reasoning with Uncertainty"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44652-4_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T21:03:29Z","timestamp":1737061409000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44652-4_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001]]},"ISBN":["9783540424642","9783540446521"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-44652-4_15","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2001]]},"assertion":[{"value":"30 August 2001","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}