Publications - Martin Janžura | Department of Pattern Recognition

Books and chapters (1)


	1. * Martin Janžura, Antonín Otáhal, Igor Vajda: Teorie informace. Masarykův ústav vyšších studií ČVUT, Praha 1991.

Journal articles (21)


	1. * Martin Janžura: On the Tsallis Entropy for Gibbs Random Fields. Bulletin of the Czech Econometric Society 21:33 (2014), 59-69. Download
	2. * Martin Janžura: An efficient estimator for Gibbs random fields. Kybernetika 50:6 (2014), 883-895. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download
	3. * Martin Janžura: Marginal problem, statistical estimation, and Möbius formula. Kybernetika 43:5 (2007), 619-631. Ústav teorie informace a automatizace AV ČR, v. v. i..
	4. * Martin Janžura, Jan Nielsen: A simulated annealing-based method for learning Bayesian networks from statistical data. International Journal of Intelligent Systems 21:3 (2006), 335-348. Wiley.
	5. * Martin Janžura: On the exponential representation problem. Soft Computing 7:5 (2003), 321-327. Springer.
	6. * Martin Janžura, Pavel Boček: Relative asymptotic efficiency of the maximum pseudolikelihood estimate for Gauss-Markov random fields. Statistical Inference for Stochastic Processes 5:2 (2002), 179-197.
	7. * Pavel Boček, T. Feglar, Martin Janžura, Igor Vajda: Prognosis and optimization of homogeneous Markov message handling networks. Kybernetika 37:6 (2001), 625-646. Ústav teorie informace a automatizace AV ČR, v. v. i..
	8. * Martin Janžura: Asymptotic Rényi distances for random fields: Properties and applications. Kybernetika 35:4 (1999), 507-525. Ústav teorie informace a automatizace AV ČR, v. v. i..
	9. * Martin Janžura: On the concept of the asymptotic Rényi distances for random fields. Kybernetika 35:3 (1999), 353-366. Ústav teorie informace a automatizace AV ČR, v. v. i..
	10. * Martin Janžura, Pavel Boček: A method for knowledge integration. Kybernetika 34:1 (1998), 41-55. Ústav teorie informace a automatizace AV ČR, v. v. i..
	11. * F. Comets, Martin Janžura: A central limit theorem for conditionally centered random fields with an application to Markov fields. Journal of Applied Probability 35:3 (1998), 608-621. Cambridge University Press.
	12. * Martin Janžura: Asymptotic results in parameter estimation for Gibbs random fields. Kybernetika 33:2 (1997), 133-159. Ústav teorie informace a automatizace AV ČR, v. v. i..
	13. * Igor Vajda, Martin Janžura: On asymptotically optimal estimates for general observations. Stochastic Processes and their Applications 72:1 (1997), 27-45. Elsevier.
	14. * Martin Janžura, T. Koski, Antonín Otáhal: Minimum entropy of error estimation for discrete random variables. IEEE Transactions on Information Theory 42:4 (1996), 1193-1201. Institute of Electrical and Electronics Engineers.
	15. * Martin Janžura, Petr Lachout: A central limit theorem for stationary random fields. Mathematical Methods of Statistics 4:4 (1995), 463-472.
	16. * Martin Janžura: The central limit theorem for random fields. Kybernetika 30:1 (1994), 77-86. Ústav teorie informace a automatizace AV ČR, v. v. i..
	17. * Martin Janžura: Statistical analysis of Gibbs-Markov binary random sequences. Statistics & Decisions 12:12 (1994), 367-384.
	18. * Martin Janžura, T. Koski, Antonín Otáhal: Minimum entropy of error principle in estimation. Information Sciences 79, 123-144. Elsevier.
	19. * Martin Janžura: An Approximation of the Pressure for the Two-Dimensional Ising Model. Kybernetika 28:3 (1992), 234-238. Ústav teorie informace a automatizace AV ČR, v. v. i..
	20. * Martin Janžura: Test for Submodel in Gibbs-Markov Binary Random Sequences. Kybernetika 25:3 (1989), 200-208.
	21. * Martin Janžura: Divergences of Gauss-Markov Random Fields with Application to Statistical Inference. Kybernetika 24:6 (1988), 401-412.

Conference papers (45)


	1. * Martin Janžura: On the importance of entropy. ROBUST 2008, 1-8. JČMF, Praha 2009. Download
	2. * Martin Janžura: On an approximative solution to the marginal problem. WUPES'09, 1-8. University of Economics Prague, Praha 2009. Download
	3. * Martin Janžura, Lucie Fialová: A parametric model for discrete- valued time series. Probastat 06, 155-163. Mathematical institute, Slovak Academy of Sciences, Bratislava 2008. Download
	4. * Martin Janžura: Local alternatives in testing hypotheses on parameters of Gibbs random fields. Proceedings of the 56th Session of the International Statistical Institute, 1117-1117. ISI, Lisabon 2007.
	5. * Martin Janžura, Jan Nielsen: Metoda segmentace v "change-point" problému. ROBUST'2002. Sborník prací dvanácté zimní školy JČMF, 163-177. JČMF, Praha 2002.
	6. * Martin Janžura: A central limit theorem for conditionally centred random fields with an application to testing statistical hypotheses. Limit Theorems in Probability and Statistics, 209-223. János Bolyai Mathematical Society, Budapest 2002.
	7. * Martin Janžura, Karel Vrbenský: Test existence vnějšího pole v Isingově modelu. ROBUST'2000. Sborník prací jedenácté letní školy JČMF, 92-101. JČMF, Praha 2001.
	8. * Martin Janžura: Testing hypotheses for Gibbs random fields with an application to the Ising model. Revista de Estatística - Statistical Review. . Proceedings of the 23rd European Meeting of Statisticians, 119-120. Instituto Nacional de Estatística, Lisboa 2001.
	9. * Martin Janžura: On the "local exponential projection" approach to the knowledge representation problem. Proceedings of the 5th Workshop on Uncertainty Processing, 110-112. VŠE, Praha 2000.
	10. * Martin Janžura: On the pseudolikelihood principle in the statistical inference for the Gibbs random fields on a lattice. International Conference on Stereology, Spatial Statistics and Stochastic Geometry. Proceedings, 123-128. Union of Czech Mathematicians and Physicists, Prague 1999.
	11. * Martin Janžura: A parametric model for large discrete stochastic systems. Second European Conference on Highly Structured Stochastic Systems, 148-150. University of Pavia, Pavia 1999.
	12. * Martin Janžura: Maximum pseudo-likelihood based testing hypotheses for Gibbs random fields. Bulletin of the International Statistical Institute. 52nd Session, 77-78. Edita, Helsinki 1999.
	13. * Martin Janžura: A parametric model with separate estimation of parameters. Tatra Mountains Mathematical Publications. 17. Proceedings of the Third International Conference on Mathematical Statistics. PROBASTAT '98, 45-53. Slovak Academy of Sciences, Bratislava 1999.
	14. * Martin Janžura, Pavel Boček: Asymptotic efficiency of the maximum pseudolikelihood estimate for Gauss-Markov random fields. Statistical Methods for Image Processing, 13-15. University of Uppsala, Uppsala 1999.
	15. * Martin Janžura: Differentiability of the rate function in the large deviations theorem for Gibbs random fields. Prague Stochastics '98. Proceedings, 263-267. JČMF, Praha 1998.
	16. * Martin Janžura: Odhady parametrů gaussovských náhodných polí. ROBUST'98. Sborník prací desáté zimní školy JČMF, 77-87. JČMF, Praha 1998.
	17. * Martin Janžura: A MCMC solution to the knowledge integration problem. Proceedings of the 4th Workshop on Uncertainty Processing, 62-73. VŠE, Praha 1997.
	18. * Martin Janžura: Aproximace aposteriorních distribucí. ROBUST '96. Sborník prací deváté letní školy JČMF, 73-84. JČMF, Praha 1997.
	19. * Martin Janžura: The pseudo-likelihood principle in statistical inference for large discrete stochastic systems. European Conference on Highly Structured Stochastic Systems. Proceedings, 78-82. University of Aalborg, Rebild 1996.
	20. * Martin Janžura: Image processing, Markov chain approach. Proceedings in Computational Statistics. COMPSTAT'96, 89-100. Physica Verlag, Heidelberg 1996.
	21. * Martin Janžura: Maximum pseudo-likelihood estimators for multivariate discrete exponential distributions. Tatra Mountains. 7. Proceedings of the Second International Conference on Mathematical Statistics. PROBASTAT'94, 195-201. Mathematical Institute, Bratislava 1996.
	22. * Martin Janžura: On identifiability conditions in parameter models of large stochastic systems. Third European Congress on Systems Science, 997-1001. Edizioni Kappa, Roma 1996.
	23. * Martin Janžura, Igor Vajda: A sufficient condition for the consistency of parameter estimates. IEEE Information Theory Society. . Proceedings of the IEEE Information Theory Workshop, 9. IEEE, Poznan 1995.
	24. * Martin Janžura, T. Koski, Antonín Otáhal: On the structure and applications of minimum entropy of error estimation for binary random variables. Proceedings of Joint Conference on Information Sciences, 291-294. Duke University, Pinehurst 1995.
	25. * Martin Janžura: Asymptotic normality of the maximum pseudo-likelihood estimate of parameters for Gibbs random fields. Transactions of the 12th Prague Conference on Information Theory, Statistical Decision Functions, Random Processes, 119-121. ÚTIA AV ČR, Praha 1994.
	26. * Martin Janžura: Asymptotic behaviour of the error probabilities in the pseudo-likelihood ratio test for Gibbs-Markov distributions. Asymptotic Statistics. Proceedings, 285-296. PhysicaVerlag, Heidelberg 1994.
	27. * Martin Janžura: Source coding theorem for random fields. Proceedings 1994 IEEE International Symposium on Information Theory, 185. IEEE, Piscataway 1994.
	28. * Martin Janžura, Antonín Otáhal: Náhodná pole a jejich aplikace. ROBUST 94. Sborník prací zimní školy JČMF, 32-43. JČMF, Praha 1994.
	29. * Martin Janžura, T. Koski, Antonín Otáhal: Minimum Entropy of Error Principle in Estimation: A Short Survey. Sixth Joint Swedish-Russian International Workshop on Information Theory, 429-431. Studentlitteratur, Lund 1993.
	30. * Martin Janžura: Asymptotic Rényi Distances for Random Fields. Sixth Joint Swedish-Russian International Workshop on Information Theory, 432-436. Studentlitteratur, Lund 1993.
	31. * Martin Janžura: Probability Models for Image Processing. Image Processing and Neural Networks '93, 38-43. VVTŠ, Liptovský Mikuláš 1993.
	32. * Martin Janžura: Asymptotic Efficiency of the Maximum Pseudo-Likelihood Estimators for Gibbs Random Fields. Stochastic Processes and their Applications, 82-83. Urije Universiteit, Amsterdam 1993.
	33. * Martin Janžura: Inference in Large Discrete Stochastic Systems. Second European Congress on Systems Science, 908-914. Afcet, Paris 1993.
	34. * Martin Janžura: Asymptotic Rényi Distances for Random Fields. Transactions of DISTANCIA '92, 387-388. Université Rennes, Rennes 1992.
	35. * Martin Janžura: Parameter Estimation for a Spatial Regression Model with Stationary Noise. Transactions of the Eleventh Prague Conference on Information Theory, Statistical Decision Functions, Random Processes, 23-30. Academia, Prague 1992.
	36. * Martin Janžura: A General Approach to Statistical Estimation. Proceedings of the 10th Conference on Probability and Mathematical Statistics. PROBASTAT '91, 211-218. Univerzita Komenského, Bratislava 1992.
	37. * Martin Janžura: Odhad parametrů v pravděpodobnostních modelech velkých systémů. Sborník prací letní školy JČMF ROBUST '92, 75-84. JČMF, Praha 1992.
	38. * Martin Janžura, Stanislav Přeučil: An Expert System Based on the Simulated Annealing Algorithm. Workshop on Uncertainty Processing in Expert Systems, -. ÚTIA ČSAV, Prague 1991.
	39. * Martin Janžura: O jednom pravděpodobnostním algoritmu pro optimalizační úlohy. Sborník prací zimní školy JČSMF ROBUST 90, 84-88. JČSMF, Praha 1990.
	40. * Martin Janžura: Asymptotic Normality of Linear-Quadratic Statistics for Gaussian Random Fields. Colloquia Mathematica Societatis János Bolyai. 57. Limit Theorems in Probability and Statistics, 293-304. János Bolyai, Budapest 1990.
	41. * Martin Janžura: Kontextová bayesovská klasifikace obrazu s využitím gibbsovské apriorní distribuce. Digitální zpracování obrazu '89, 92-98. Tesla VÚST, Praha 1990.
	42. * Martin Janžura: A General View of the Maximum Likelihood Estimation. Mathematische Stochastik, 10-11. Mathematisches Forschungsinstitut, Oberwolfach 1990.
	43. * Martin Janžura: Odhady parametrů prostorového regresního modelu. PROBASTAT'89. Zborník príspevkou, 104. VVTŠ, Liptovský Mikuláš 1989.
	44. * Martin Janžura: Local Asymptotic Normality for Gibbs Random Fields. Proceedings of the Fourth Prague Symposium on Asymptotic Statistics, 275-284. Universita Karlova, Praha 1989.
	45. * Martin Janžura: Logaritmicko lineární modely pro posloupnosti závislých binárních dat. ROBUST 88, 61-66. Jednota československých matematiků a fyziků, Praha 1988.

Other publications (15)


	1. * Martin Janžura: Statistická analýza gibbsovských náhodných polí. ÚTIA AV ČR, Praha 2006.
	2. * Martin Janžura: On the Connection between Marginal Problem, Statistical Estimation, and Möbius Formula. Interní publikace - DAR - ÚTIA 2006/18. ÚTIA AV ČR, Praha 2006.
	3. * Martin Janžura: On a construction of an efficient estimator for the expectation of a local statistics on a random process or a filed. The 25th European Meeting os Statisticians-Final Programme and Abstracts, 172-172. University of Oslo, Oslo 2005.
	4. * Martin Janžura, Jiří Ivánek: International Workshop on Data - Algorithm - Decision Making. Interní publikace - DAR - ÚTIA 2005/41. ÚTIA AV ČR, Praha 2005.
	5. * Martin Janžura: A parametric model for discrete-valued time series. Abstract. Conference on Stochastic Processes and their Applications. Abstracts, 13. University of Cambridge, Cambridge 2001.
	6. * Martin Janžura, Pavel Boček: Stochastické metody prognózování parametrů v datových sítích. Research Report 1981. ÚTIA AV ČR, Praha 2000.
	7. * Martin Janžura: Asymptotic Properties of the Maximum Pseudolikelihood Estimate for Gauss-Markov Random Fields. Research Report 1949. ÚTIA AV ČR, Praha 1999.
	8. * T. Feglar, Igor Vajda, Martin Janžura: Optimal Design of Communication Networks. Research Report 1978. ÚTIA AV ČR, Praha 1999.
	9. * Martin Janžura: Maximum pseudolikelihood estimate for Gauss-Markov random fields. Abstract. 21st European Meeting of Statisticians. Programme and Abstracts, 174. University of Aarhus, Aarhus 1995.
	10. * Martin Janžura, T. Koski, Antonín Otáhal: Minimum Entropy of Error Estimation for Discrete Random Variables. Research Report 94/12. University of Technology, Lulea 1994.
	11. * Martin Janžura: Asymptotic Results in Parameter Estimation for Gibbs Random Fields. Research Report 1763. ÚTIA AV ČR, Praha 1993.
	12. * Martin Janžura, T. Koski, Antonín Otáhal: Minimum Entropy of Error Principle in Estimation. Research Report 10. University of Technology, Lulea 1992.
	13. * Martin Janžura: A General Approach to Statistical Estimation. PROBASTAT '91. Abstracts of Lectures, 45. Comenius University, Bratislava 1991.
	14. * Martin Janžura: Odhad parametrů prostorového regresního modelu. ÚTIA ČSAV, Praha 1989.
	15. * Martin Janžura: Testování náhodnosti v Kolmogorovských posloupnostech. ÚTIA ČSAV, Praha 1989.

Miscellaneous (3)


	1. * Martin Janžura, Jiří Ivánek: Abstracts of Contributions to 4th International Workshop on Data – Algorithms – Decision Making. Interní publikace DAR-ÚTIA 2008/6. ÚTIA AV ČR, Praha 2008. Download
	2. * Martin Janžura, Jiří Ivánek: International Workshop on Data-Algorithmus-Decision Making.
	3. * Martin Janžura, T. Mikosch: Abstracts of the 24th European Meeting of Statisticians & 14th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes. Institute of Information Theory and Automation, Prague 2002.