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== References == {{Refbegin}} * {{cite encyclopedia | last = Ben Gal | first = Irad | title = Support-Page | editor-last1 = Ruggeri | editor-first1 = Fabrizio | editor-last2 = Kennett | editor-first2 = Ron S. | editor-last3 = Faltin | editor-first3 = Frederick W | name-list-style = vanc | encyclopedia = Encyclopedia of Statistics in Quality and Reliability | chapter-url = http://www.eng.tau.ac.il/~bengal/BN.pdf | year = 2007 | publisher = [[John Wiley & Sons]] | isbn = 978-0-470-01861-3 | doi = 10.1002/9780470061572.eqr089 | chapter = Bayesian Networks | doi-access = free | access-date = 2007-08-27 | archive-date = 2016-11-23 | archive-url = https://web.archive.org/web/20161123041500/http://www.eng.tau.ac.il/~bengal/BN.pdf | url-status = dead }} * {{cite book |last1= Bertsch McGrayne |first1= Sharon |name-list-style= vanc |title= The Theory That Would not Die |year= 2011 |url= https://archive.org/details/theorythatwouldn0000mcgr |url-access= registration |location= New Haven |publisher= [[Yale University Press]] }} * {{cite book|last1= Borgelt|first1= Christian|last2= Kruse|first2= Rudolf|name-list-style= vanc|author2-link= Rudolf Kruse|title= Graphical Models: Methods for Data Analysis and Mining|url= http://fuzzy.cs.uni-magdeburg.de/books/gm/|date= March 2002|publisher= [[John Wiley & Sons|Wiley]]|location= [[Chichester|Chichester, UK]]|isbn= 978-0-470-84337-6}} * {{cite encyclopedia |last= Borsuk |first= Mark Edward | name-list-style = vanc | editor = Jørgensen, Sven Erik | editor-link = Sven Erik Jørgensen |editor2=Fath, Brian |encyclopedia= Encyclopedia of Ecology |title= Ecological informatics: Bayesian networks |year= 2008| publisher= Elsevier|isbn= 978-0-444-52033-3}} * {{cite book |last1=Castillo|first1=Enrique|last2=Gutiérrez |first2=José Manuel |last3=Hadi |first3=Ali S. | name-list-style = vanc |title= Expert Systems and Probabilistic Network Models |series= Monographs in computer science |year= 1997 |publisher= [[Springer Science+Business Media|Springer-Verlag]]|location=New York |isbn= 978-0-387-94858-4|pages= 481–528 |chapter= Learning Bayesian Networks}} * {{cite journal | last1 = Comley | first1 = Joshua W. | last2 = Dowe | first2 = David L. | name-list-style = vanc | title = General Bayesian networks and asymmetric languages | url = http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html#ComleyDowe2003 | journal = Proceedings of the 2nd Hawaii International Conference on Statistics and Related Fields | date = June 2003 }} * {{cite book | last1 = Comley | first1 = Joshua W. | last2 = Dowe | first2 = David L. | name-list-style = vanc | year = 2005 | chapter = Minimum Message Length and Generalized Bayesian Nets with Asymmetric Languages | chapter-url = http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html#ComleyDowe2005 | editor-last = Grünwald | editor-first = Peter D. | editor2-last = Myung | editor2-first = In Jae | editor3-last = Pitt | editor3-first = Mark A. | title = Advances in Minimum Description Length: Theory and Applications | series = Neural information processing series | location = [[Cambridge, Massachusetts]] | publisher = Bradford Books ([[MIT Press]]) | publication-date = April 2005 | pages = 265–294 | isbn = 978-0-262-07262-5 }} (This paper puts [[Decision tree learning|decision tree]]s in internal nodes of Bayes networks using [http://www.csse.monash.edu.au/~dld/MML.html Minimum Message Length] ([[Minimum message length|MML]]). * {{cite book |last = Darwiche |first = Adnan |name-list-style = vanc |title = Modeling and Reasoning with Bayesian Networks |url = http://www.cambridge.org/9780521884389 |publisher = [[Cambridge University Press]] |year = 2009 |isbn = 978-0-521-88438-9 }} * {{Cite book|url={{google books |plainurl=y |id=mPG5RupkTX0C}}|title=Philosophy of Statistics|date=2011-05-31|publisher=Elsevier|isbn=978-0-08-093096-1|language=en|last=Dowe|first=David L.|chapter-url=http://www.csse.monash.edu.au/~dld/Publications/2010/Dowe2010_MML_HandbookPhilSci_Vol7_HandbookPhilStat_MML+hybridBayesianNetworkGraphicalModels+StatisticalConsistency+InvarianceAndUniqueness_pp901-982.pdf|chapter=Hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness|pages=[http://www.csse.monash.edu.au/~dld/Publications/2010/Dowe2010_MML_HandbookPhilSci_Vol7_HandbookPhilStat_MML+hybridBayesianNetworkGraphicalModels+StatisticalConsistency+InvarianceAndUniqueness_pp901-982.pdf 901–982]}} * {{cite book | last1 = Fenton | first1 = Norman | last2 = Neil | first2 = Martin E. | name-list-style = vanc | date = November 2007 | chapter-url = http://www.agenarisk.com/resources/apps_bayesian_networks.pdf | chapter = Managing Risk in the Modern World: Applications of Bayesian Networks | title = A Knowledge Transfer Report from the London Mathematical Society and the Knowledge Transfer Network for Industrial Mathematics. | location = [[London|London (England)]] | publisher = [[London Mathematical Society]] | access-date = 2008-10-29 | archive-date = 2008-05-14 | archive-url = https://web.archive.org/web/20080514044436/http://www.agenarisk.com/resources/apps_bayesian_networks.pdf }} * {{cite news |first1=Norman |last1=Fenton |first2=Martin E. |last2=Neil |name-list-style=vanc |title=Combining evidence in risk analysis using Bayesian Networks |url=https://www.dcs.qmul.ac.uk/~norman/papers/Combining%20evidence%20in%20risk%20analysis%20using%20BNs.pdf |work=Safety Critical Systems Club Newsletter |volume=13 |issue=4 |location=[[Newcastle upon Tyne]], England |pages=8–13 |date=July 23, 2004 |archive-url=https://web.archive.org/web/20070927153751/https://www.dcs.qmul.ac.uk/~norman/papers/Combining%20evidence%20in%20risk%20analysis%20using%20BNs.pdf |archive-date=2007-09-27 }} * {{cite book | first1 = Andrew | last1 = Gelman | first2 = John B | last2 = Carlin | first3 = Hal S | last3 = Stern | first4 = Donald B | last4 = Rubin | name-list-style = vanc | title = Bayesian Data Analysis | chapter = Part II: Fundamentals of Bayesian Data Analysis: Ch.5 Hierarchical models | chapter-url = {{google books |plainurl=y |id=TNYhnkXQSjAC|page=120}} | year = 2003 | publisher = [[CRC Press]] | isbn = 978-1-58488-388-3 | pages = 120– | url = {{google books |plainurl=y |id=TNYhnkXQSjAC}} }} * {{cite book | last = Heckerman | first = David | date = March 1, 1995 | contribution = Tutorial on Learning with Bayesian Networks | contribution-url = http://research.microsoft.com/research/pubs/view.aspx?msr_tr_id=MSR-TR-95-06 | editor-last = Jordan | editor-first = Michael Irwin | title = Learning in Graphical Models | series = Adaptive Computation and Machine Learning | location = [[Cambridge, Massachusetts]] | publication-date = 1998 | publisher = [[MIT Press]] | pages = 301–354 | isbn = 978-0-262-60032-3 | access-date = September 15, 2006 | archive-date = July 19, 2006 | archive-url = https://web.archive.org/web/20060719171558/http://research.microsoft.com/research/pubs/view.aspx?msr_tr_id=MSR-TR-95-06 | url-status = bot: unknown }}:Also appears as {{cite journal |date=March 1997|title= Bayesian Networks for Data Mining |journal= [[Data Mining and Knowledge Discovery]]|volume= 1| issue= 1 |pages= 79–119 |doi= 10.1023/A:1009730122752 |last1= Heckerman |first1= David|s2cid= 6294315 }} :An earlier version appears as, [[Microsoft Research]], March 1, 1995. The paper is about both parameter and structure learning in Bayesian networks. * {{cite book | last1 = Jensen | first1 = Finn V | last2 = Nielsen | first2 = Thomas D. | name-list-style = vanc | title = Bayesian Networks and Decision Graphs | url = {{google books |plainurl=y |id=cWLaBwAAQBAJ}} | edition = 2nd | series = Information Science and Statistics series | publisher = [[Springer Science+Business Media|Springer-Verlag]] | location = [[New York City|New York]] | date = June 6, 2007 | isbn = 978-0-387-68281-5 }} * {{cite journal | last1 = Karimi | first1 = Kamran | last2 = Hamilton | first2 = Howard J. | name-list-style = vanc | title = Finding temporal relations: Causal bayesian networks vs. C4. 5 | journal = Twelfth International Symposium on Methodologies for Intelligent Systems | date = 2000 | url = http://www.kamran-karimi.com/pubs/khISMIS2000.pdf }} * {{cite book | last1 = Korb | first1 = Kevin B. | last2 = Nicholson | first2 = Ann E. | name-list-style = vanc | title = Bayesian Artificial Intelligence | url = {{google books |plainurl=y |id=LxXOBQAAQBAJ}} | edition = 2nd | publisher = [[Chapman & Hall]] ([[CRC Press]]) | date = December 2010 | isbn = 978-1-58488-387-6 | series = CRC Computer Science & Data Analysis | doi = 10.1007/s10044-004-0214-5 | s2cid = 22138783 }} * {{cite journal | vauthors = Lunn D, Spiegelhalter D, Thomas A, Best N | title = The BUGS project: Evolution, critique and future directions | journal = Statistics in Medicine | volume = 28 | issue = 25 | pages = 3049–67 | date = November 2009 | pmid = 19630097 | doi = 10.1002/sim.3680 | s2cid = 7717482 }} * {{cite journal | vauthors = Neil M, Fenton N, Tailor M | title = Using Bayesian networks to model expected and unexpected operational losses | journal = Risk Analysis | volume = 25 | issue = 4 | pages = 963–72 | date = August 2005 | pmid = 16268944 | doi = 10.1111/j.1539-6924.2005.00641.x | bibcode = 2005RiskA..25..963N | s2cid = 3254505 | url = http://www.dcs.qmul.ac.uk/~norman/papers/oprisk.pdf | editor = Greenberg, Michael R. }} * {{cite journal |last= Pearl|first= Judea |author-link= Judea Pearl | name-list-style = vanc |date=September 1986|title= Fusion, propagation, and structuring in belief networks |journal= [[Artificial Intelligence (journal)|Artificial Intelligence]]|volume= 29 |issue= 3 |pages= 241–288 |doi= 10.1016/0004-3702(86)90072-X}} * {{cite book |last = Pearl |first = Judea |name-list-style = vanc |author-link = Judea Pearl |title = Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference |url = {{google books |plainurl=y |id=mn2jBQAAQBAJ}} |edition = 2nd printing |publisher = [[Morgan Kaufmann]] |location = [[San Francisco, California]] |year = 1988 |isbn = 978-0-934613-73-6 |series = Representation and Reasoning Series }} * {{cite book |last1=Pearl |first1=Judea |author-link=Judea Pearl |last2=Russell |first2=Stuart |author-link2=Stuart J. Russell |contribution=Bayesian Networks |editor-last=Arbib |editor-first=Michael A. |name-list-style=vanc |editor-link=Michael A. Arbib |title=Handbook of Brain Theory and Neural Networks |url={{google books |plainurl=y |id=Av6qWhtw0-EC}} |pages=157–160 |location=[[Cambridge, Massachusetts]] |date=November 2002 |publisher=Bradford Books ([[MIT Press]]) |isbn=978-0-262-01197-6 }} * {{Russell Norvig 2003}}. * {{cite journal | last1 = Zhang | first1 = Nevin Lianwen | last2 = Poole | first2 = David | name-list-style = vanc | title = A simple approach to Bayesian network computations | journal = Proceedings of the Tenth Biennial Canadian Artificial Intelligence Conference (AI-94). | date = May 1994 | pages = 171–178 | url = http://www.cs.ust.hk/~lzhang/paper/pspdf/canai94.pdf }} This paper presents variable elimination for belief networks. {{Refend}}
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