Milan Studený

Books and chapters

1. Vomlel Jiří, Studený Milan: Graphical and Algebraic Representatives of Conditional Independence Models , Advances in Probabilistic Graphical Models , Eds: Lucas Peter, Gámez José A., Salmerón Antonio
2. Studený Milan: Probabilistic Conditional Independence Structures, Springer, (London 2005)
3. Studený Milan: Other approaches to the description of conditional independence structures , Highly Structured Stochastic Systems, p. 106-108 , Eds: Green P. J., Hjort N. L., Richardson S., Oxford University Press, (New York 2003) Oxford Statistical Science Series. vol.27
4. Studený Milan, Vejnarová Jiřina: On multiinformation function as a tool for measuring stochastic dependence , Learning in Graphical Models, p. 261-297 , Eds: Jordan M. I., Kluwer Academic, (Dordrecht 1998) NATO Science Series. Series D: Behavioural and Social Sciences. vol.89
5. Studený Milan: Description of Conditional Independence Structures by Means of Imsets: A Connection with Product Formula Validity , Uncertainty in Intelligent Systems, p. 179-194 , Eds: Bouchon-Meunier B., Valverde L., Yager R. R., Elsevier, (Amsterdam 1993)

Journal articles

1. Studený Milan, Vomlel Jiří: A reconstruction algorithm for the essential graph , International Journal of Approximate Reasoning vol.50, 2 (2009), p. 385-413 Download
2. Perez A., Studený Milan: Comparison of two methods for approximation of probability distributions with prescribed marginals , Kybernetika vol.43, 5 (2007), p. 591-618
3. Bouckaert R. R., Studený Milan: Racing algorithms for conditional independence inference , International Journal of Approximate Reasoning vol.45, 2 (2007), p. 386-401
4. Roverato A., Studený Milan: A graphical representation of equivalence classes of AMP chain graphs , Journal of Machine Learning Research vol.7, 6 (2006), p. 1045-1078
5. Studený Milan: Characterization of inclusion neighbourhood in terms of the essential graph , International Journal of Approximate Reasoning vol.38, 3 (2005), p. 283-309
6. Bouckaert R. R., Studený Milan: Racing for conditional independence inference , Proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty vol.3571, p. 221-232, ECSQARU 2005 /8./, (Barcelona, ES, 06.07.2005-08.07.2005)
7. Studený Milan: Characterization of essential graphs by means of the operation of legal merging of components , International Journal of Uncertainty Fuzziness and Knowledge-Based Systems vol.12, p. 43-62
8. Studený Milan: Chain graph models and their causal interpretations - discussion on the paper by Lauritzen and Richardson , Journal of the Royal Statistical Society Series B-Statistical Methodology vol.64, 3 (2002), p. 358
9. Studený Milan: On stochastic conditional independence: the problems of characterization and description , Annals of Mathematics and Artificial Intelligence vol.35, p. 323-341
10. Paz A., Geva R. Y., Studený Milan: Representation of irrelevance relations by annotated graphs , Fundamenta Mathematicae vol.42, 1 (2000), p. 149-199
11. Volf M., Studený Milan: A graphical characterization of the largest chain graphs , International Journal of Approximate Reasoning vol.20, 3 (1999), p. 209-236
12. Studený Milan, Bouckaert R. R.: On chain graph models for description of conditional independence structures , Annals of Statistics vol.26, 4 (1998), p. 1434-1495
13. Studený Milan: A recovery algorithm for chain graphs , International Journal of Approximate Reasoning vol.17, 213 (1997), p. 265-293
14. Studený Milan: Semigraphoids and structures of probabilistic conditional independence , Annals of Mathematics and Artificial Intelligence vol.21, 1 (1997), p. 71-98
15. Studený Milan: Conditional independence and natural conditional functions , International Journal of Approximate Reasoning vol.12, 1 (1995), p. 43-68
16. Matúš František, Studený Milan: Conditional independences among four random variables I , Combinatorics, Probability and Computing vol.4, p. 269-278
17. Studený Milan: Description of structures of stochastic conditional independence by means of faces and imsets. 2nd part: basic theory. , International Journal of General Systems vol.23, 3 (1995), p. 201-219
18. Studený Milan: Description of structures of stochastic conditional independence by means of faces and imsets. 3rd part: examples of use and appendices , International Journal of General Systems vol.23, 4 (1995), p. 323-341
19. Studený Milan: Description of structures of stochastic conditional independence by means of faces and imsets. 1st part: introduction and basic concepts , International Journal of General Systems vol.23, 2 (1994), p. 123-137
20. Studený Milan: Structural semigraphoids , International Journal of General Systems vol.22, 2 (1994), p. 207-217
21. Studený Milan: Convex Cones in Finite-Dimensional Real Vector Spaces , Kybernetika vol.29, 2 (1993), p. 180-200
22. Lachout Petr, Studený Milan, Šindelář Jan: On set-valued measures , Informatica vol.4, p. 21-44
23. Malvestuto F. M., Studený Milan: Comment on "A Unique Formal System for Binary Decompositions of Database Relations, Probability Distributions, and Graphs" , Information Sciences vol.63, p. 1-2

Other publications

1. Studený Milan, Vomlel Jiří: A Geometric Approach to Learning BN Structures , Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08) , Eds: Jaeger Manfred, Nielsen Thomas D., the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), (Hirtshals, DK, 17.09.2008-19.09.2008) Download
2. Studený Milan: Mathematical aspects of learning Bayesian networks: Bayesian quality criteria, ÚTIA AV ČR, v.v.i, (Praha 2008) Research Report 2234 Download
3. Jiroušek Radim, Kratochvíl Václav, Kroupa Tomáš, Lněnička Radim, Studený Milan, Vomlel Jiří, Hampl P., Hamplová H.: An evaluation of string similarity measures on pricelists of computer components , Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./ , Eds: Kroupa T., Vejnarová J., Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, (Liblice, CZ, 15.09.2007-18.09.2007)
4. Vomlel Jiří, Studený Milan: Using imsets for learning Bayesian networks , Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./ , Eds: Kroupa T., Vejnarová J., Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, (Liblice, CZ, 15.09.2007-18.09.2007)
5. Studený Milan: An algeraic approach to structural learning Bayesian networks , Information Processing and Management of Uncertainty in Knowledge-Based Systems, p. 2284-2291 , Eds: Bouchon-Meunier B., Yager R. R., IMPU 2006, (Paris, FR, 02.07.2006-07.07.2006)
6. Roverato A., Studený Milan: A Graphical Representation of Equivalence Classes of AMP Chain Graphs, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/37
7. Perez A., Studený Milan: Comparsion of Two Methods for Approximation of Probability Distributions with Prescribed Marginals, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/39
8. Hamplová H., Ivánek J., Jiroušek Radim, Kroupa Tomáš, Lněnička Radim, Studený Milan, Vomlel Jiří: Decision support system for comparison of price lists , Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 32-38 , Eds: Kroupa T., Vejnarová J., Oeconomica, (Praha 2005) , Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /8./, (Třešť, CZ, 19.09.2005-21.09.2005)
9. Studený Milan, Roverato A., Štěpánová Š.: Two Operations of Merging Components in a Chain Graph, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/38
10. Studený Milan: Structural imsets: an algebraic method for describing conditional independence structures , Proceedings of the Tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, p. 1323-1330, IPMU 2004 /10./, (Perugia, IT, 04.07.2004-09.07.2004)
11. Studený Milan, Vomlel Jiří: Transition between graphical and algebraic representatives of Bayesian network models , Proceedings of the Second European Workshop on Probabilistic Graphical Models, p. 193-200, Probabilistic Graphical Models PGM'04 /2./, (Leiden, NL, 04.10.2004-08.10.2004)
12. Šimeček Petr, Studený Milan: Využití Hilbertovy báze k ověření shodnosti strukturálních a kombinatorických imsetů , Sborník ROBUST 2004, p. 395-402 , Eds: Antoch J., Dohnal G., Robust 2004, (Třešť, CZ, 07.06.2004-11.06.2004)
13. Šimeček P., Studený Milan: Využití pojmu Hilbertovy báze pro ověřování hypotézy o shodnosti strukturálních a kombinatorických imsetů , Sborník prací 13. letní školy JČMF ROBUST 2004, p. 395-401 , Eds: Antoch J., Dohnal G., JČMF, (Praha 2004) , Letní škola JČMF ROBUST 2004 /13./, (Třešť, CZ, 07.06.2004-11.06.2004)
14. Studený Milan: Characterization of inclusion neighbourhood in terms of the essential graph: Lower neighbours , Proceedings of the 6th Workshop on Uncertainty Processing, p. 243-262 , Eds: Vejnarová J., University of Economics, (Prague 2003) , WUPES 2003. Workshop on Uncertainty Processing /6./, (Hejnice, CZ, 24.09.2003-27.09.2003)
15. Studený Milan: Characterization of inclusion neighbourhood in terms of the essential graph: upper neighbours , Symbolic and Quantitative Approaches to Reasoning with Uncertainty. European Conference, p. 161-172 , Eds: Nielsen T. D., Zhang N. L., Springer, (Berlin 2003) , ECSQARU 2003 /7./, (Aalborg, DK, 02.07.2003-05.07.2003)
16. Studený Milan: Algebraic approach to learning Bayesian networks. Abstract , BAYESIAN STATISTICS 7 Programme Abstracts Participants, p. 179, Universitat de Valencia, (Valencia 2002) , Valencia International Meeting on Bayesian Statisitcs /7./, (Playa de las Americas, ES, 01.06.2002-06.06.2002)
17. Studený Milan: Characterization of essential graphs by means of an operation of legal component merging , Proceedings of the First European Workshop on Probabilistic Graphical Models, p. 161-168 , Eds: Gamez J. A., Salmeron A., University of Castilla, (Cuenca 2002) , European Workshop on Probabilistic Graphical Models /1./ PGM'02, (Cuenca, ES, 06.11.2002-08.11.2002)
18. Studený Milan: O použití řetězcových grafů pro popis struktur podmíněné nezávislosti , ROBUST'2002. Sborník prací dvanácté zimní školy JČMF, p. 292-314 , Eds: Antoch J., Dohnal G., Klaschka J., JČMF, (Praha 2002) , ROBUST'2002 /12./, (Hejnice, CZ, 21.01.2002-25.01.2002)
19. Studený Milan: On methods of description of conditional independence structures. Abstract , Abstracts of the 24th European Meeting of Statisticians & 14th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes, p. 333 , Eds: Janžura M., Mikosch T., Institute of Information Theory and Automation, (Prague 2002) , EMS 2002, (Prague, CZ, 19.08.2002-23.08.2002)
20. Jiroušek Radim, Studený Milan, Vejnarová Jiřina: Open problems inspired by Albert Perez , Conditionals, Information, Inference, p. 117-128 , Eds: Kern-Isberner G., Rodder W., Fern Universität, (Hagen 2002) , Workshop on Conditionals, Information, and Inference, (Hagen, DE, 13.05.2002-15.05.2002)
21. Kočka T., Bouckaert R. R., Studený Milan: On characterizing inclusion of Bayesian networks , Uncertainty in Artificial Intelligence. Proceeding of the 17th Conference, p. 261-268 , Eds: Breese J., Koller D., Morgan Kaufmann, (San Francisco 2001) , Uncertainty in Artificial Intelligence /17./, (Seattle, US, 02.08.2001-05.08.2001)
22. Studený Milan: On Mathematical Description of Probabilistic Conditional Independence Structures. DrSc. Dissertation, ( 2001)
23. Studený Milan: On non-graphical description of models of conditional independence structure, Katholieke Universiteit, (Leuven 2001) Download
24. Kočka T., Bouckaert R. R., Studený Milan: On the Inclusion Problem, ÚTIA AV ČR, (Praha 2001) Research Report 2010
25. Studený Milan, Bouckaert R. R., Kočka T.: Extreme Supermodular Set Functions over Five Variables, ÚTIA AV ČR, (Praha 2000) Research Report 1977
26. Studený Milan: On stochastic conditional independence: Problem of characterization and description , Partial Knowledge and Uncertainty: Independence, Conditioning, Inference, p. 5-8 , Eds: Scozzafava R., Vantaggi B., Baltzer Science Publ., (Rome 2000) , Workshop on Partial Knowledge and Uncertainty: Independence, Conditioning, Inference., (Rome, IT, 04.05.2000-06.05.2000)
27. García-Mata Osvaldo, Studený Milan: About the Closure Operation for Relational Models Induced by Syntactic Inference Rules, ÚTIA AV ČR, (Praha 1999) Research Report 1959
28. Dawid A. P., Studený Milan: Conditional products: An alternative approach to conditional independence , Artificial Intelligence and Statistics 99. Proceedings, p. 32-40 , Eds: Heckerman D., Whittaker J., Morgan Kaufmann, (San Francisco 1999) , International Workshop on Artificial Intelligence and Statistics /7./, (Fort Lauderdale, US, 03.01.1999-06.01.1999)
29. Matúš František, Studený Milan: Workshop on Conditional Independence Structures and Graphical Models. Book of Abstracts, ÚTIA AV ČR, (Praha 1999) , Conditional Independence Structures and Graphical Models, (Toronto, CA, 27.09.1999-01.10.1999)
30. Studený Milan: Bayesian networks from the point of view of chain graphs , Uncertainty in Artificial Intelligence. Proceedings of the Fourteenth Conference, p. 496-503 , Eds: Cooper G. F., Moral S., Morgan Kaufmann, (San Francisco 1998) , Uncertainty in Artificial Intelligence /14./, (Madison, US, 24.07.1998-26.07.1998)
31. Studený Milan: Complexity of structural models , Prague Stochastics '98. Proceedings, p. 521-528 , Eds: Hušková M., Lachout P., Víšek J. Á., JČMF, (Praha 1998) , Prague Stochastics '98, (Praha, CZ, 23.08.1998-28.08.1998)
32. Studený Milan: Comparison of graphical approaches to description of conditional independence structures , Proceedings of the 4th Workshop on Uncertainty Processing, p. 156-172, VŠE, (Praha 1997) , WUPES '97 /4./, (Prague, CZ, 22.01.1997-25.01.1997)
33. Studený Milan: On marginalization, collapsibility and precollapsibility , Distributions with Given Marginals and Moment Problems, p. 191-198 , Eds: Beneš V., Štěpán J., Kluwer, (Dordrecht 1997) , Distributions with Given Marginals and Moment Problems /3./, (Prague, CZ, 02.09.1996-06.09.1996)
34. Studený Milan: On Recovery Algorithm for Chain Graphs, ÚTIA AV ČR, (Praha 1996) Research Report 1874
35. Studený Milan: On separation criterion and recovery algorithm for chain graphs , Uncertainty in Artificial Intelligence. Proceedings, p. 509-516 , Eds: Horvik E., Jensen F., Morgan Kaufmann Publ., (San Francisco 1996) , Conference on Uncertainty in Artificial Intelligence /12./, (Portland, US, 01.08.1996-04.08.1996)
36. Studený Milan: On stochastic conditional independence structures , European Conference on Higly Structured Stochastic Systems. Proceedings, p. 165-169, University of Aalborg, (Rebild 1996) , European Conference on Highly Structured Stochastic Systems /1./, (Rebild, DK, 19.05.1996-24.05.1996)
37. Bouckaert R. R., Studený Milan: Chain graphs: semantics and expressiveness , Symbolic and Quantitative Approaches to Reasoning and Uncertainty, p. 67-76 , Eds: Froidevaux Ch., Kohlas J., Springer, (Berlin 1995) Lecture Notes in Artificial Intelligence. vol.946 , ECSQARU '95, (Fribourg, CH, 03.07.1995-05.07.1995)
38. Bouckaert R. R., Studený Milan: Chain Graphs: Semantics and Expressiveness - Extended Version, ÚTIA AV ČR, (Praha 1995) Research Report 1836
39. Zvárová Jana, Studený Milan: Information Theoretical Approach to Constitution and Reduction of Medical Data , EuroMISE 95: Information, Health and Education, p. 88 , Eds: Zvárová J., Malá I., EuroMISE Center, (Prague 1995) , TEMPUS International Conference, (Prague, CZ, 20.10.1995-23.10.1995)
40. Zvárová Jana, Studený Milan: Information theoretical approach to constitution and reduction of medical data. Abstract , EuroMISE '95: Information, Health and Education, p. 88 , Eds: Zvárová J., Malá I., EuroMISE Center, (Prague 1995) , TEMPUS International Conference, (Prague, CZ, 20.10.1995-23.10.1995)
41. Studený Milan: Marginal problem in different calculi of AI , Advances in Intelligent Computing - IPMU '94, p. 348-359 , Eds: Bouchon-Meunier B., Yager R. R., Zadeh L. A., Springer, (Berlin 1995) Lecture Notes in Computer Science. vol.945 , IPMU '94 /5./, (Paris, FR, 04.07.1994-08.07.1994)
42. Studený Milan, Boček Pavel: CI-models arising among 4 random variables , Uncertainty Processing in Expert Systems. Proceedings, p. 268-282, VŠE, (Praha 1994) , Workshop on Uncertainty Processing in Expert Systems /3./, (Třešť, CZ, 11.09.1994-15.09.1994)
43. Studený Milan: Marginal problem in different calculi of AI , Information Processing and Management of Uncertainty in Knowledge-Based Systems. Proceedings, p. 597-604, Cité Internationale Universitaire, (Paris 1994) , IPMU '94 /5./, (Paris, FR, 04.07.1994-08.07.1994)
44. Studený Milan: Semigraphoids are two-antecedental approximations of stochastic conditional independence models , Uncertainty in Artificial Intelligence. Proceedings, p. 546-552 , Eds: Mantaras R. L., Poole D., Morgan Kaufmann, (San Francisco 1994) , Uncertainty in Artificial Intelligence /10./, (Seattle, US, 29.07.1994-31.07.1994)
45. Studený Milan, Matúš František, Vejnarová Jiřina: Decomposition of Large Systems and Independence Structures , Second European Congress on Systems Science, p. 891-898, Afcet, (Paris 1993) , European Congress on Systems Science /2./, (Prague, CZ, 05.10.1993-08.10.1993)
46. Studený Milan: Formal Properties of Conditional Independence in Different Calculi of AI , Symbolic and Quantitative Approaches to Reasoning and Uncertainty, p. 341-348 , Eds: Clarke M., Kruse R., Moral S., Springer, (Berlin 1993) Lecture Notes in Computer Science. vol.747 , European Conference ECSQARU '93, (Granada, ES, 08.11.1993-10.11.1993)
47. Studený Milan: Conditional Independence Relations Have No Finite Complete Characterization , Transactions of the Eleventh Prague Conference on Information Theory, Statistical Decision Functions, Random Processes, p. 377-396 , Eds: Víšek J. Á., Academia, (Prague 1992) , Prague Conference on Information Theory, Statistical Decision Functions and Random Procesess /11./, (Prague, CS, 27.08.1990-31.08.1990)
48. Studený Milan: Description of Conditional Independence Structures by Means of Imsets: A Connection with Product Formula Validity , International Conference on Information Processing and Management of Uncertainty. IPMU '92, p. 503-506, Universitat des les Illes Balears, (Palma 1992) , IPMU '92, (Mallorca, ES, 06.07.1992-10.07.1992)
49. Studený Milan: Multiinformation and Conditional Independence II, ÚTIA ČSAV, (Praha 1992) Research Report 1751
50. Lachout Petr, Studený Milan, Šindelář Jan: On Set-Valued Measures, ÚTIA ČSAV, (Praha 1992) Research Report 1741
51. Studený Milan: Popis struktur podmíněné stochastické nezávislosti pomocí formulí součinového typu , Sborník prací letní školy JČMF ROBUST '92, p. 146-155 , Eds: Antoch J., Dohnal G., JČMF, (Praha 1992) , ROBUST '92, (Herbertov, CS, 14.09.1992-18.09.1992)
52. Studený Milan: Convex cones in Rn, ÚTIA ČSAV, (Praha 1991) Research Report 1724
53. Studený Milan: Convex Semigraphoids , Workshop on Uncertainty Processing in Expert Systems, p. - , Eds: Jiroušek R., ÚTIA ČSAV, (Prague 1991) , WUPES '91, (Alšovice, CS, 09.09.1991-12.09.1991)
54. Studený Milan: Convex Set Functions I, ÚTIA ČSAV, (Praha 1991) Research Report 1773
55. Studený Milan: Convex set Functions II, ÚTIA ČSAV, (Praha 1991) Research Report 1734
56. Studený Milan: Multiinformace jakožto nástroj pro studium podmíněné stochastické nezávislosti , PROBASTAT '89. Zborník príspevkov, p. 129, VVTŠ, (Liptovský Mikuláš 1989) , PROBASTAT '89, (Liptovský Mikuláš, CS, 03.09.1989-08.09.1989)
57. Studený Milan: Multiinformation and Conditional Independence I, ÚTIA ČSAV, (Praha 1989) Research Report 1619