Institute of Information Theory and Automation

Bibliography

Igor Vajda

Books and chapters

  1. Zvárová Jana, Veselý Arnošt, Vajda Igor: Data, Information and Knowledge. Chapter I , Data Mining and Medical Knowledge Management: Cases and Applications , Eds: Berka P., Rauch J., Zighed D.A. (2009)
  2. Zvárová Jana, Svačina Š., Valenta Zdeněk, Berka Petr, Buchtela David, Jiroušek Radim, Malý Marek, Papíková Vendula, Peleška Jan, Rauch Jan, Vajda Igor, Veselý Arnošt, Zvára Karel, Zvolský Miroslav: Systémy pro podporu lékařského rozhodování, Universita Karlova - nakladatelství Karolinum, (Praha 2009) Biomedicínská informatika vol.3 (2009)
  3. Vajda Igor, Liese F.: f-divergences: Sufficiency, deficiency and testing of hypotheses , Advances in Inequalities from Probability Theory and Statistics , Eds: Barnett Neil, Dragomir Sever (2008) Download
  4. Vajda Igor, Grim Jiří: Neural networks , Systems Science and Cybernetics , Eds: Parra-Luna Francisco (2008) Download
  5. Vajda Igor: Self Organization as a Synergism of Conservative and Liberal Behavior , Handbook of Systems Science, p. 171-180 , Eds: De Cleris M., European Systems Union, (Athens 1991) (1991)
  6. Janžura Martin, Otáhal Antonín, Vajda Igor: Teorie informace, Masarykův ústav vyšších studií ČVUT, (Praha 1991) (1991)
  7. Vajda Igor, Přibyl J.: Error Statistics in Data Networks , Computer Networking, p. 145-153 , Eds: Csaba L., NorthHolland, (Amsterdam 1990) (1990)
  8. Vajda Igor: Rényi Distances of Some Diffusion Processes , Probability Theory and Mathematical Statistics, p. 529-534 , Eds: Statulevičius V., Mokslas, (Vilnius 1990) (1990)
  9. Vajda Igor: Asymptotic Rate of Discrimination of Random Processes , Proceedings of 4th Prague Symposium on Asymptotic Statistics, p. 101-112 , Eds: Mandl P., Charles University, (Prague 1989) (1989)
  10. Vajda Igor: Theory of Statistical Inference and Information, Kluwer Academic Publishers, (Dordrecht 1989) (1989)

Journal articles

  1. Vajda Igor, Stummer W.: On divergence of finite measures and their applicability in statistics and information theory , Statistics vol.43, 6 (2009), p. 1-19 (2009) Download
  2. Vajda Igor: On metric divergences of probability measures , Kybernetika vol.45, 6 (2009), p. 885-900 (2009) Download
  3. Kůs V., Morales D., Vajda Igor: Extensions of the parametric families of divergences used in statistical inference , Kybernetika vol.44, 1 (2008), p. 95-112 (2008)
  4. Vajda Igor, Harremoës P.: On the Bahadur-efficient testing of uniformity by means of entropy , IEEE Transactions on Information Theory vol.54, p. 321-331 (2008)
  5. Harremoes P., Vajda Igor: On the Bahadur-efficient testing of uniformity by means of entropy , IEEE Transactions on Information Theory vol.54, 1 (2008), p. 321-331 (2008) Download
  6. Hobza T., Pardo L., Vajda Igor: Robust median estimator in logisitc regression , Journal of Statistical Planning and Inference vol.138, 12 (2008), p. 3822-3840 (2008) Download
  7. Šindelář Jan, Vajda Igor, Kárný Miroslav: Stochastic control optimal in the Kullback sense , Kybernetika vol.44, 1 (2008), p. 53-60 (2008) Download
  8. Vajda Igor: Asymptotic comparisons of divergence-based goodness-of-fit statistics , Publications of the Statistical Institute of the University of Paris vol.51, p. 49-66 (2007)
  9. Vajda Igor, Zvárová Jana: On generalized entropies, Bayesian decisions and statistical diversity , Kybernetika vol.43, 5 (2007), p. 675-696 (2007)
  10. Vajda Igor, Stummer W.: Optimal statistical decisions about some alternative financial models , Journal of Econometrics vol.137, 2 (2007), p. 441-471 (2007)
  11. Vajda Igor, Liese F., Morales D.: Asymptotically sufficient partitions and quantizations , IEEE Transactions on Information Theory vol.52, 12 (2006), p. 5599-5606 (2006)
  12. Berlinet A., Vajda Igor: On asymptotic sufficiency and optimality of quantizations , Journal of Statistical Planning and Inference vol.136, 12 (2006), p. 4217-4237 (2006)
  13. Liese F., Vajda Igor: On divergences and informations in statistics and information theory , IEEE Transactions on Information Theory vol.52, 10 (2006), p. 4394-4412 (2006)
  14. Vajda Igor, Morales D., Pardo L.: On efficient estimation in continuous models based on finitely quantized observations , Communications in Statistics - Theory and Methods vol.35, p. 1629-1653 (2006)
  15. Zvárová Jana, Vajda Igor: On Genetic Information, Diversity and Distance , Methods of Information in Medicine vol.45, 2 (2006), p. 173-179 (2006)
  16. Hobza Tomáš, Molina I., Vajda Igor: On convergence of Fisher informations in continuous models with quantized observations , Test vol.14, 1 (2005), p. 151-179 (2005)
  17. Vajda Igor, van der Meulen E. C.: On minimum divergence adaptation of discrete bivariate distributions to given marginals , IEEE Transactions on Information Theory vol.51, 1 (2005), p. 313-320 (2005)
  18. Vajda Igor, Veselý Arnošt, Zvárová Jana: On the amount of information resulting from empirical and theoretical knowledge , Revista Mathématica Complutense vol.18, 2 (2005), p. 275-283 (2005)
  19. Morales D., Pardo L., Vajda Igor: On the optimal number of classes in the Pearson goodness-of-fit tests , Kybernetika vol.41, 6 (2005), p. 677-698 (2005)
  20. Liese F., Vajda Igor: A general asymptotic theory of M-estimators II , Mathematical Methods of Statistics vol.13, 1 (2004), p. 82-95 (2004)
  21. Morales D., Pardo L., Pardo M. C., Vajda Igor: Rényi statistics for testing composite hypotheses in general exponential models , Statistics vol.38, 2 (2004), p. 133-147 (2004)
  22. Liese F., Vajda Igor: A general asymptotic theory of M-estimators I , Mathematical Methods of Statistics vol.12, 4 (2003), p. 454-477 (2003)
  23. Vajda Igor, Öesterreicher F.: A new class of metric divergences on probability spaces and its applicability in statistics , Annals of the Institute of Statistical Mathematics vol.55, 3 (2003), p. 639-653 (2003)
  24. Morales D., Pardo L., Vajda Igor: Asymptotic laws for disparity statistics in product multinomial models , Journal of Multivariate Analysis vol.85, 3 (2003), p. 335-360 (2003)
  25. Vajda Igor: Asymptotic laws for stochastic disparity statistics , Tatra Mountains Mathematical Publications vol.26, 1 (2003), p. 1-12 (2003)
  26. Fabián Zdeněk, Vajda Igor: Core Functions and Core Divergences of Regular Distribution , Kybernetika vol.39, 1 (2003), p. 29-42 (2003)
  27. Morales D., Pardo L., Pardo M. C., Vajda Igor: Limit laws for disparities of spacings , Journal of Nonparametric Statistics vol.15, 3 (2003), p. 325-342 (2003)
  28. Pardo M. C., Vajda Igor: On asymptotic properties of information-theoretic divergences , IEEE Transactions on Information Theory vol.49, 7 (2003), p. 1860-1868 (2003)
  29. Mayoral A. M., Morales D., Morales J., Vajda Igor: On efficiency of estimation and testing with data quantized to fixed number of cells , Metrika vol.57, 1 (2003), p. 1-27 (2003)
  30. Liese F., Vajda Igor: On square root of n-consistency and asymptotic normality of consistent estimators in models with independent observations , Rostocker Mathematisches Kolloquium vol.57, 3 (2003), p. 3-51 (2003)
  31. Vajda Igor, Gyorfi L.: Asymptotic distribution for goodness-of-fit statistics in a sequence of multinomial models , Statistics & Probability Letters vol.56, 1 (2002), p. 57-67 (2002)
  32. Berlinet A., Hobza Tomáš, Vajda Igor: Asymptotics for generalized piecewise linear histograms , Publications de l'Institut de Statistique de l'Universite de Paris vol.34, 3 (2002), p. 3-19 (2002)
  33. Beirlant J., Berlinet A., Biau G., Vajda Igor: Divergence-type errors of smooth Barron-type density estimators , Test vol.11, 1 (2002), p. 191-217 (2002)
  34. Berlinet A., Hobza Tomáš, Vajda Igor: Generalized piecewise linear histograms , Statistica Neerlandica vol.56, 3 (2002), p. 301-313 (2002)
  35. Vajda Igor: On convergence of information contained in quantized observations , IEEE Transactions on Information Theory vol.48, 8 (2002), p. 2163-2172 (2002)
  36. Molina I., Morales D., Pardo L., Vajda Igor: On size increase for goodness of fit tests when observations are positively dependent , Statistics & Decisions vol.20, 4 (2002), p. 399-414 (2002)
  37. Györfi L., Vajda Igor: A class of modified Pearson and Neyman statistics , Statistics & Decisions vol.19, p. 239-251 (2001)
  38. Menéndez M. L., Morales D., Pardo L., Vajda Igor: Approximations to powers of phi-disparity goodness-of-fit tests , Communications in Statistics - Theory and Methods vol.30, 1 (2001), p. 105-134 (2001)
  39. Beirlant J., Devroye L., Györfi L., Vajda Igor: Large deviations of divergence measures on partitions , Journal of Statistical Planning and Inference vol.93, p. 1-16 (2001)
  40. Menéndez M. L., Pardo L., Vajda Igor: Minimum disparity estimators for discrete and continuous models , Applications of Mathematics vol.46, 6 (2001), p. 439-466 (2001)
  41. Menéndez M. L., Morales D., Pardo L., Vajda Igor: Minimum divergence estimators based on grouped data , Annals of the Institute of Statistical Mathematics vol.53, 2 (2001), p. 277-288 (2001)
  42. Esteban M. D., Castellanos M. E., Morales D., Vajda Igor: Monte Carlo comparison of four normality tests using different entropy estimates , Communications in Statistics - Simulation and Computation and Communications in Statistics Part B - Simulation and Computation vol.30, 4 (2001), p. 761-785 (2001)
  43. Berlinet A., Vajda Igor: Nonnegative piecewise linear histograms , Statistics vol.35, 4 (2001), p. 295-317 (2001)
  44. Hobza T., Vajda Igor: On the Newcomb-Benford law in models of statistical data , Revista Mathématica Complutense vol.14, 2 (2001), p. 1-13 (2001)
  45. Vajda Igor, van der Meulen E. C.: Optimization of Barron density estimates , IEEE Transactions on Information Theory vol.47, 5 (2001), p. 1867-1883 (2001)
  46. Vajda Igor: Optimization of Barron density estimates under the chi-square criterion , Statistical Review vol.5, 2 (2001), p. 395-396 (2001)
  47. Boček Pavel, Feglar T., Janžura Martin, Vajda Igor: Prognosis and optimization of homogeneous Markov message handling networks , Kybernetika vol.37, 6 (2001), p. 625-646 (2001)
  48. Darbellay Georges A., Vajda Igor: Entropy expressions for multivariate continuous distributions , IEEE Transactions on Information Theory vol.46, 2 (2000), p. 709-712 (2000)
  49. Morales D., Pardo L., Pardo M. C., Vajda Igor: Extension of the Wald statistic to models with dependent observations , Metrika vol.52, 2 (2000), p. 97-113 (2000)
  50. Berlinet A., Liese F., Vajda Igor: Necessary and sufficient conditions for consistency of M-estimates in regression models with general errors , Journal of Statistical Planning and Inference vol.89, p. 243-267 (2000)
  51. Morales D., Pardo L., Vajda Igor: Rényi statistics in directed families of exponential experiments , Statistics vol.34, 1 (2000), p. 151-174 (2000)
  52. Darbellay Georges A., Vajda Igor: Estimation of the information by an adaptive partitioning of the observation space , IEEE Transactions on Information Theory vol.45, 4 (1999), p. 1315-1321 (1999)
  53. Menéndez M. L., Morales D., Pardo L., Vajda Igor: Inference about stationary distributions of Markov chains based on divergences with observed frequencies , Kybernetika vol.35, 3 (1999), p. 265-280 (1999)
  54. Liese F., Vajda Igor: M-estimators of structural parameters in pseudolinear models , Applications of Mathematics vol.44, 4 (1999), p. 245-270 (1999)
  55. Vajda Igor: On consistency of M-estimators in models with a linear substructure: Part 1 , Discussiones Mathematicae vol.19, 2 (1999), p. 355-373 (1999)
  56. Vajda Igor: On consistency of M-estimators in models with a linear substructure: Part 2 , Discussiones Mathematicae vol.19, 2 (1999), p. 375-392 (1999)
  57. Berlinet A., Vajda Igor, van der Meulen E. C.: About the asymptotic accuracy of Barron density estimates , IEEE Transactions on Information Theory vol.44, 3 (1998), p. 999-1009 (1998)
  58. Vajda Igor, Grim Jiří: About the maximum information and maximum likelihood principles in neural networks , Kybernetika vol.34, 4 (1998), p. 485-494 (1998)
  59. Menéndez M. L., Morales D., Pardo L., Vajda Igor: Asymptotic distributions of phi-divergences of hypothetical and observed frequencies on refined partitions , Statistica Neerlandica vol.52, 1 (1998), p. 71-89 (1998)
  60. Györfi L., Liese F., Vajda Igor, van der Meulen E. C.: Distribution estimates consistent in x2-divergence , Statistics vol.32, p. 31-57 (1998)
  61. Vajda Igor: Global information in statistical experiments and consistency of likelihood-based estimates and tests , Kybernetika vol.34, 3 (1998), p. 245-263 (1998)
  62. Vajda Igor, van der Meulen E. C.: Global statistical information in exponential experiments and selection of exponential models , Applications of Mathematics vol.43, 1 (1998), p. 23-51 (1998)
  63. Vajda Igor, Lonek B., Nikolov V., Veselý A.: Neural network realizations of Bayes decision rules for exponentially distributed data , Kybernetika vol.34, 5 (1998), p. 497-514 (1998)
  64. Vajda Igor, van der Meulen E. C.: The chi-square error of Barron estimator of regular density is asymptotically normal , Publications of the Institute of Statistics of the University of Paris vol.42, p. 93-110 (1998)
  65. Menéndez M. L., Morales D., Pardo L., Vajda Igor: Two approaches to grouping of data and related disparity statistics , Communications in Statistics - Theory and Methods vol.27, 3 (1998), p. 609-633 (1998)
  66. Pardo M. C., Vajda Igor: About distances of discrete distributions satisfying the data processing theorem of information theory , IEEE Transactions on Information Theory vol.43, 4 (1997), p. 1288-1293 (1997)
  67. Rukhin A. L., Vajda Igor: Change-point estimation as a nonlinear regression problem , Statistics vol.30, p. 181-200 (1997)
  68. Vajda Igor, Janžura Martin: On asymptotically optimal estimates for general observations , Stochastic Processes and their Applications vol.72, 1 (1997), p. 27-45 (1997)
  69. Vajda Igor, Veselý A.: Perceptron approximations to Bayesian descrimination and classification of random signals , Neural Network World vol.3, 4 (1997), p. 305-323 (1997)
  70. Morales D., Pardo L., Vajda Igor: Some new statistics for testing hypotheses in parametric models , Journal of Multivariate Analysis vol.62, 1 (1997), p. 137-168 (1997)
  71. Menéndez M. L., Morales D., Pardo L., Vajda Igor: Testing in stationary models based on divergences of observed and theoretical frequencies , Kybernetika vol.33, 5 (1997), p. 465-475 (1997)
  72. Menéndez M. L., Morales D., Pardo L., Vajda Igor: About divergence-based goodness-of-fit tests in the Dirichlet-multinomial model , Communications in Statistics - Theory and Methods vol.25, 5 (1996), p. 1119-1133 (1996)
  73. Morales D., Pardo L., Vajda Igor: Divergence between various estimates of quantized information sources , Kybernetika vol.32, 4 (1996), p. 395-407 (1996)
  74. Györfi L., Vajda Igor, van der Meulen E. C.: Minimum Kolmogorov distance estimates of parameters and parametrized distributions , Metrika vol.43, 3 (1996), p. 237-255 (1996)
  75. Györfi L., Vajda Igor, van der Meulen E. C.: Minimum Kolmogorov distances estimates for multivariate parametrized families , American Journal of Mathematical and Management Sciences vol.16, p. 167-191 (1996)
  76. Rukhin A. L., Vajda Igor: The error probability, entropy, and equivocation when the number of input messages increases , IEEE Transactions on Information Theory vol.42, 6 (1996), p. 2228-2231 (1996)
  77. Morales D., Pardo L., Vajda Igor: Uncertainty of discrete stochastic systems: General theory and statistical inference , IEEE Transactions on Systems. Man and Cybernetics. Part A: Systems and Humans vol.26, 6 (1996), p. 681-697 (1996)
  78. Rukhin A. L., Vajda Igor: Adaptive decision making for stochastic processes , Journal of Statistical Planning and Inference vol.45, p. 313-329 (1995)
  79. Morales D., Pardo L., Vajda Igor: Asymptotic divergence of estimates of discrete distributions , Journal of Statistical Planning and Inference vol.48, 6 (1995), p. 347-369 (1995)
  80. Vajda Igor: Conditions equivalent to consistency of approximate MLE's for stochastic processes , Stochastic Processes and their Applications vol.56, p. 35-56 (1995)
  81. Menéndez M. L., Morales D., Pardo L., Vajda Igor: Divergence-based estimation and testing of statistical models of classification , Journal of Multivariate Analysis vol.52, 2 (1995), p. 329-354 (1995)
  82. Liese F., Vajda Igor: Necessary and sufficient conditions for consistency of generalized M-estimates , Metrika vol.42, p. 291-324 (1995)
  83. Vajda Igor: Statistical tests of optimality of source codes , Kybernetika vol.31, 4 (1995), p. 321-330 (1995)
  84. Liese F., Vajda Igor: Consistency of M-estimates in general regression models , Journal of Multivariate Analysis vol.50, 1 (1994), p. 93-114 (1994)
  85. Györfi L., Vajda Igor, van der Meulen E. C.: Minimum Hellinger distance point estimates consistent under weak family regularity , Mathematical Methods of Statistics vol.3, 1 (1994), p. 25-45 (1994)
  86. Vajda Igor, Österreicher F.: Statistical analysis and applications of log-optimal investments , Kybernetika vol.30, 3 (1994), p. 331-342 (1994)
  87. Kotásková Jarmila, Vajda Igor, Kožený J.: Vzorce osobnosti II: Ontogenetické zvláštnosti vztahu morální úrovně a lokalizace kontroly , Československá  psychologie vol.38, 1 (1994), p. 15-27 (1994)
  88. Luschgy H., Rukhin A. L., Vajda Igor: Adaptive Tests for Stochastic Processes in the Ergodic Case , Stochastic Processes and their Applications vol.45, 1 (1993), p. 45-59 (1993)
  89. Vajda Igor: Conditions equivalent and doubly equivalent to consistency of approximate MLE's , Journal of the Italian Statistical Society vol.2, 1 (1993), p. 107-125 (1993)
  90. Teboulle M., Vajda Igor: Convergence of Best phi-Entropy Estimates , IEEE Transactions on Information Theory vol.39, 1 (1993), p. 297-301 (1993)
  91. Vajda Igor, Österreicher F.: Existence, Uniqueness and Evaluation of Log-Optimal Investment Portfolio , Kybernetika vol.29, 2 (1993), p. 105-120 (1993)
  92. Exner Otto, Kramosil Ivan, Vajda Igor: Mathematical Evaluation of the Fit of a Theory with Experimental Data , Journal of Chemical Information and Computer Sciences vol.33, 3 (1993), p. 407-411 (1993)
  93. Exner O., Kramosil Ivan, Vajda Igor: Mathematical Evaluation of the Fit of a Theory with Experimental Data , Journal of Chemical Information and Computer Sciences vol.33, 3 (1993), p. 407-411 (1993)
  94. Österreicher F., Vajda Igor: Statistical Information and Discrimination , IEEE Transactions on Information Theory vol.39, 3 (1993), p. 1036-1039 (1993)
  95. Feistauerová Jaroslava, Vajda Igor: Testing system entropy and prediction error probability , IEEE Transactions on Systems Man and Cybernetics vol.23, 5 (1993), p. 1352-1358 (1993)
  96. Kotásková Jarmila, Kožený J., Vajda Igor: Vzorce osobnosti I: Interakce morální úrovně a lokalizace kontroly v sociálním kontextu , Československá  psychologie vol.37, 5 (1993), p. 385-397 (1993)
  97. Vajda Igor: Distances and Discrimination Rates for Stochastic Processes , Stochastic Processes and their Applications vol.35, 1 (1990), p. 47-57 (1990)
  98. Vajda Igor: Generalization of Discrimination-Rate Theorems of Chernoff and Stein , Kybernetika vol.26, 4 (1990), p. 273-288 (1990)

Other publications

  1. Vajda Igor, van der Meulen Edward: Divergences between models and data under hypothetical and empirical quantizations, ÚTIA AV ČR, v.v.i, (Praha 2010) Research Report 2275 (2010) Download
  2. Harremoes Peter, Vajda Igor: Evaluation of tight bounds for divergences, ÚTIA AV ČR v.v.i, (Praha 2010) Research Report 2273 (2010) Download
  3. Morales Domingo, Vajda Igor: Generalized information criteria for optimal Bayes decisions, ÚTIA AV ČR, v.v.i, (Praha 2010) Research Report 2274 (2010) Download
  4. Stummer W., Vajda Igor: Bergman distances in exponential families , Abstracts of Contributions to 5th International Workshop on Data-Algorthms-Decision Making, 5th International Workshop on Data-Algorthms-Decision Making, (Plzen, CZ, 29.11.2009-01.12.2009) (2009) Download
  5. Vajda Igor: Information theory models for clinical decision support , 30th Annual Conference of the International Society for Clinical Biostatistics , Eds: Z. Valenta , 30. výroční konference Mezinárodní společnosti pro klinickou biostatistiku, (Praha, CZ, 23.08.2009-27.08.2009) (2009) Download
  6. Kostelecký Tomáš, Vajda Igor, Vrbenský Karel: LOCCONTINGENCY, ( 2009) (2009)
  7. Vajda Igor, Stummer W.: On Bregman distances and divergences of probability measures, ÚTIA AV ČR, v.v.i, (Praha 2009) Research Report 2009/2 (2009) Download
  8. Vajda Igor: On efficiencies of decisions about statistical models based on f-divergences of empirical distributions , ROBUST 2008 , Eds: Antoch J., Dohnal G., ROBUST 2008. Letní škola JČMF /15./, (Pribylina, SK, 08.09.2008-12.09.2008) (2009) Download
  9. Broniatowski M., Vajda Igor: Several applications of divergence criteria in continuous families, ÚTIA AV ČR v.v.i, (Praha 2009) Research Report 2257 (2009) Download
  10. Vajda Igor, van der Meulen E. C.: Asymptotic properties of spacings-based divergence statistics, ÚTIA AV ČR, (Praha 2008) Research Report 2241 (2008) Download
  11. Vajda Igor, Stummer W.: Bregman distances in exponential families of probability distributions, ÚTIA AV ČR, (Praha 2008) Research Report 2008/7 (2008) Download
  12. Vajda Igor, Harremoës P.: Consistency of various divergence statistics, ÚTIA AV ČR, (Praha 2008) Research Report 2218 (2008)
  13. Berlinet A., Vajda Igor: Divergence Criteria for Improved Selection Rules, ÚTIA AV ČR, (Praha 2008) Internal Publication 2008/5 (2008) Download
  14. Vajda Igor: Divergence-based statistical decisions , Information and Communication Conference, Abstracts, Information and Communication, (Budapest, HU, 25.08.2008 - 28.08.2008) (2008) Download
  15. Harremoes P., Vajda Igor: Efficiency of entropy testing , Proceedings ISIT 2008, IEEE International Symposium on Information Theory 2008, (Toronto, CA, 06.07.2008-11.07.2008) (2008) Download
  16. Harremoës P., Vajda Igor: Efficiency of Entropy Testing, ÚTIA AV ČR, (Praha 2008) Internal Publication 2008/2 (2008)
  17. Berlinet A., Vajda Igor: Extensions of a Devroye-Lugosi theorem, ÚTIA AV ČR, (Praha 2008) Research Report 2240 (2008) Download
  18. Vajda Igor, Morales D.: Generalized information criteria for optimal Bayes decisions, ÚTIA AV ČR, (Praha 2008) Research Report 2239 (2008) Download
  19. Vajda Igor: Modifications of divergence criteria in continuous families, ÚTIA AV ČR, (Praha 2008) Research Report 2230 (2008) Download
  20. Vajda Igor: On efficiencies of decisions about statistical models based on f-divergences of empirical distributions , Sborník Abstraktů pro ROBUST 2008, ROBUST 2008. Letní škola JČMF /15./, (Pribylina, SK, 08.09.2008-12.09.2008) (2008) Download
  21. Vajda Igor: On Efficiencies of Decisions about Statistical Models Based on f-divergences of Empirical Distributions, ÚTIA AV ČR, (Praha 2008) Internal Publication 2008/4 (2008) Download
  22. Vajda Igor: Application of Phi-divergence to Estimation in Continuous Families, ÚTIA AV ČR, (Praha 2007) Research Report 2007/8 (2007)
  23. Vajda Igor, Harremoës P.: Efficient Testing of Uniformity using Power Divergence Statistics, ÚTIA AV ČR, (Praha 2007) Research Report 2007/4 (2007)
  24. Vajda Igor, Harremoës P.: Entropy testing is efficient , Proceeding of ISIT 2007, International symposium on information theory, (Nice, FR, 24.06.2007-29.06.2007) (2007)
  25. Kůs V., Morales D., Vajda Igor: Extensions of the Parametric Families of Divergences Used in Statistical Inference, ÚTIA AV ČR, (Praha 2007) Internal Publication 2007/2. (2007)
  26. Morales D., Vajda Igor: Generalized Informations and Bayesian Errors, ÚTIA AV ČR, (Praha 2007) Internal Publication 2007/18 (2007)
  27. Vajda Igor: Limit Laws for f-disparity Statistics under Local Alternatives, ÚTIA AV ČR, (Praha 2007) Research Report 2007/11 (2007)
  28. Vajda Igor: O divergenci a fluktuaci proměnných veličin a pravděpodobnostních distribucí, ÚTIA AV ČR, (Praha 2007) Research Report 2007/10 (2007)
  29. Stummer W., Vajda Igor: On Divergences of Finite Measures and Their Applications in Censoring, ÚTIA AV ČR, (Praha 2007) Research Report 2007/7 (2007)
  30. Stummer W., Vajda Igor: On Divergences of Finite Measures and their Statistical Applicability, ÚTIA AV ČR, (Praha 2007) Research Report 2007/14 (2007)
  31. Boček Pavel, Vajda Igor: Testování hypotéz o násobných multinomiálních modelech, ÚTIA AV ČR, (Praha 2007) Research Report 2007/15 (2007)
  32. Vajda Igor: Asymptotics for Pearson-type goodness-of-fit statistics , Journées de Statistique de SFdS, p. 1-7, 38e Journées de Statistique de la Societé Francaise de Statistiqie, (Paris, FR, 29.05.2006-02.06.2006) (2006) Download
  33. Hobza Tomáš, Vajda Igor, van der Meulen E. C.: Consistent estimation and testing by means of disparity statistics based on m-spacings, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/15 (2006) Download
  34. Vajda Igor: Divergence pravděpodobnostních distribucí a statistická informace, ÚTIA AV ČR, (Praha 2006) Research Report 2168 (2006)
  35. Liese F., Vajda Igor: Divergences and their applications in sufficiency, deficiency and testing of hypotheses, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/16 (2006) Download
  36. Vajda Igor: Divergence-Based Extension of the Maximum Likehood Method, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/10 (2006)
  37. Vajda Igor, van der Meulen E. C.: Goodness-of-fit testing based on hypothetical and empirical quantizations, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/14 (2006) Download
  38. Vajda Igor, van der Meulen E.: Goodness-of-fit tests based on observations quantized by hypothetical and empirical quantiles, ÚTIA AV ČR, (Praha 2006) Research Report 2160 (2006)
  39. Vajda Igor: On asymptotic distributions of f-disparity statistics under local alternatives, ÚTIA AV ČR, (Praha 2006) Research Report 2169 (2006)
  40. Liese F., Vajda Igor: On Divergences and their new Applications in Statistics and Information Theory, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/12 (2006)
  41. Vajda Igor, van der Meulen E.: On estimation and testing by means of disparities based on m-spacings , Prague Stochastics 2006, p. 701-708 , Eds: Hušková M., Janžura M., Prague Stochastics 2006, (Prague, CZ, 21.08.2006-25.08.2006) (2006)
  42. Vajda Igor, Zvárová Jana: On relations between informations, entropies and Bayesian decisions , Prague Stochastics 2006, p. 709-718 , Eds: Hušková M., Janžura M., Prague Stochastics 2006, (Prague, CZ, 21.08.2006-25.08.2006) (2006)
  43. Vajda Igor: On two types of phi-divergence goodness-of-fit statistics, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/13 (2006) Download
  44. Hobza Tomáš, Pardo L., Vajda Igor: Robust Median Estimator in Logistic Regression, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/31 (2006)
  45. Vajda Igor, Zvárová Jana: Some relations between informations and entropies with applications in Bayesian decisions and biometry, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/17 (2006) Download
  46. Vajda Igor, Zvárová Jana: Some Results on Generalized Entropies with Applications in Bayesian Decisions a Biometry, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/29 (2006)
  47. Boček Pavel, Marek Tomáš, Vajda Igor: Discrete Efficient Methods 1: Testing Compound Hypotheses, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/15 (2005)
  48. Marek Tomáš, Vajda Igor, Vrbenský Karel: Minimum divergence adaptation of bivariate distributions, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/44 (2005)
  49. Berlinet A., Vajda Igor: On Asymptotic Sufficiency and Optimality of Quantizations, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/18 (2005)
  50. Liese F., Vajda Igor: On Divergence and Informations in Statistics and Information Theory, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/31 (2005)
  51. Morales D., Pardo L., Vajda Igor: On Efficient Estimation in Continuous Models Based on Finitely Quantized Observations, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/27 (2005)
  52. Zvárová Jana, Vajda Igor: On Genetic Information and Diversity , ISCB26, p. 50 , Eds: Singer J., Boda K., Schemper M., University of Szeged, (Szeged 2005) , Annual Conference of the ISCB /26./, (Szeged, HU, 21.08.2005-25.08.2005) (2005)
  53. Stummer W., Vajda Igor: Optimal Statistical Decision About Some Alternative Financial Models, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/35 (2005)
  54. Hobza T., Pardo L., Vajda Igor: Robust Median Estimators in General Logistic Regression, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/40 (2005)
  55. Morales D., Pardo L., Vajda Igor: Digitalization of observations permits efficient estimation in continuos models , Soft Methodology and Random Information Systems, p. 315-322, International Conference on Soft Methods in Probability and Statistics /2./, (Oviedo, ES, 02.09.2004-04.09.2004) (2004)
  56. Hobza Tomáš, Pardo L., Vajda Igor: Median Estimators of Parameters of Logistic Regression in Models with Discrete or Continuous Responses, ÚTIA AV ČR, (Praha 2004) Research Report 2124 (2004)
  57. Vajda Igor, Veselý Arnošt, Zvárová Jana: Models of information and knowledge for support of medical decision-making , Sborník semináře Informační technologie v péči o zdraví, p. 149-152 , Eds: Zvárová J., Přečková P., EuroMISE s.r.o., (Praha 2004) , Informační technologie v péči o zdraví, (Praha, CZ, 09.10.2004) (2004)
  58. Zvárová Jana, Vajda Igor: On Genetic Information, Diversity and Distance , International Joint Meeting EuroMISE 2004 Proceedings, p. 16, International Joint Meeting EuroMISE 2004, (Prague, CZ, 12.04.2004-16.04.2004) (2004)
  59. Pardo M. C., Pardo L., Vajda Igor: Testing Homogeneity of Independent Samples from Arbitrary Models, ÚTIA AV ČR, (Praha 2004) Research Report 2104 (2004)
  60. Fabián Zdeněk, Vajda Igor: Core Functions and Core Divergences of Regular Distributions, ICS AS CR, (Prague 2002) Research Report V-863 (2002)
  61. Liese F., Vajda Igor: On Consistency and Asymptotic Normality of Consistent Estimators in Models with Independent Observations, ÚTIA AV ČR, (Praha 2002) Research Report 2042 (2002)
  62. Vajda Igor, van der Meulen E. C.: On minimum divergence adaptation of bivariate distributions to given marginals. Abstract , Abstracts of the 24th European Meeting of Statisticians & 14th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes, p. 344 , Eds: Janžura M., Mikosch T., Institute of Information Theory and Automation, (Prague 2002) , EMS 2002, (Prague, CZ, 19.08.2002-23.08.2002) (2002)
  63. Fabián Zdeněk, Vajda Igor: Core Distance of Probability Distributions, ICS AS CR, (Prague 2001) Research Report V-812 (2001)
  64. Liese F., Vajda Igor: First Order Theory of M-estimators in General Models with Independent Observations, ÚTIA AV ČR, (Praha 2001) Research Report 2017 (2001)
  65. Vajda Igor: On asymptotic equivalence of information-theoretic divergences , Proceedings 2001 IEEE International Symposium on Information Theory, p. 23, IEEE, (Washington 2001) , IEEE International Symposium on Information Theory 2001, (Washington, US, 24.06.2001-29.06.2001) (2001)
  66. Hobza Tomáš, Vajda Igor, Vrbenský Karel: Estimation of Distribution in Telecommunication Networks and its Optimization, ÚTIA AV ČR, (Praha 2000) Research Report 2001 (2000)
  67. Györfi L., Morvai G., Vajda Igor: Information-theoretic methods in testing the goodness of fit , Proceedings of the 2000 IEEE International Symposium on Information Theory, p. 28, IEEE, (New York 2000) , ISIT 2000, (Sorrento, IT, 25.06.2000-30.06.2000) (2000)
  68. Liese F., Vajda Igor: A General Asymptotic Theory of M-Estimators, ÚTIA AV ČR, (Praha 1999) Research Report 1951 (1999)
  69. Vajda Igor: About new communication networks technology and mathematics , Proceedings of the 4th Systems Science European Congress, p. 1011-1016 , Eds: Ferrer L., SESGE, (Valencia 1999) , Systems Science European Congress /4./, (Valencia, ES, 20.09.1999-24.09.1999) (1999)
  70. Györfi L., Morvai G., Vajda Igor: Asymptotic Results for Iformation-Theoretic and Statistical Criteria of Goodness of Fit, ÚTIA AV ČR, (Praha 1999) Research Report 1961 (1999)
  71. Hejna B., Vajda Igor: Information transmission in stationary stochastic systems , Computing Anticipatory Systems. Proceedings, p. 405-417 , Eds: Dubois D. M., American Institute of Physics, (Woodbury 1999) AIP Conference Proceedings. vol.465 , CASYS '98 /2./, (Liege, BE, 10.08.1998-14.08.1998) (1999)
  72. Vajda Igor: Neural networks classification in exponential models with unknown statistics , Classification in the Information Age. Proceedings, p. 336-343 , Eds: Gaul W., Locarek-Junge H., Springer, (Berlin 1999) Studies in Classification, Data Analysis, and Knowledge Organization. , Annual Conference of the German Classification Society GfKl /22./, (Dresden, DE, 04.03.1998-06.03.1998) (1999)
  73. Feglar T., Vajda Igor, Janžura Martin: Optimal Design of Communication Networks, ÚTIA AV ČR, (Praha 1999) Research Report 1978 (1999)
  74. van der Meulen E. C., Vajda Igor: About the chi-square error of Barron density estimate , Prague Stochastics '98. Proceedings, p. 557-562 , Eds: Hušková M., Lachout P., Víšek J. Á., JČMF, (Praha 1998) , Prague Stochastics '98, (Praha, CZ, 23.08.1998-28.08.1998) (1998)
  75. Berlinet A., Hobza T., Vajda Igor: Analysis of Some New Histogram Based Estimators, Université Montpellier, (Montpellier 1998) Research Report 98-09 (1998)
  76. Morales D., Pardo L., Vajda Igor: Divergence statistics for testing composite hypotheses , Prague Stochastics '98. Proceedings, p. 419-423 , Eds: Hušková M., Lachout P., Víšek J. Á., JČMF, (Praha 1998) , Prague Stochastics '98, (Praha, CZ, 23.08.1998-28.08.1998) (1998)
  77. Darbellay Georges A., Vajda Igor: Entropy Expressions for Continuous Multivariate Distributions, ÚTIA AV ČR, (Praha 1998) Research Report 1920 (1998)
  78. Darbellay Georges A., Vajda Igor: Estimation of the Mutual Information with Data-dependent Partitions, ÚTIA AV ČR, (Praha 1998) Research Report 1921 (1998)
  79. Menéndez M. L., Morales D., Pardo L., Vajda Igor: Minimum divergence estimation and testing in case of empirically quantized observations , Prague Stochastics '98. Proceedings, p. 391-396 , Eds: Hušková M., Lachout P., Víšek J. Á., JČMF, (Praha 1998) , Prague Stochastics '98, (Praha, CZ, 23.08.1998-28.08.1998) (1998)
  80. Berlinet A., Liese F., Vajda Igor: M-estimates of parameters of periodic stochastic models , Prague Stochastics '98. Proceedings, p. 39-42 , Eds: Hušková M., Lachout P., Víšek J. Á., JČMF, (Praha 1998) , Prague Stochastics '98, (Praha, CZ, 23.08.1998-28.08.1998) (1998)
  81. Vajda Igor: On Consistency of M-estimators in Models with a Linear Substructure, ÚTIA AV ČR, (Praha 1998) Research Report 1931 (1998)
  82. Kudrna M., Vajda Igor: On log-optimal and Sharpe-Markowitz investment portfolios , Prague Stochastics '98. Proceedings, p. 331-336 , Eds: Hušková M., Lachout P., Víšek J. Á., JČMF, (Praha 1998) , Prague Stochastics '98, (Praha, CZ, 23.08.1998-..1998) (1998)
  83. Hobza T., Kůs V., Vajda Igor, van der Meulen E. C., Vrbenský K.: Optimal Partitions and Dominating Distributions for Barron Density Estimates, ÚTIA AV ČR, (Praha 1998) Research Report 1928 (1998)
  84. Fabián Zdeněk, Morales D., Pardo L., Vajda Igor: Testing in exponential families by means of the Rényi distances , Prague Stochastics '98. Proceedings, p. 137-142 , Eds: Hušková M., Lachout P., Víšek J. Á., JČMF, (Praha 1998) , Prague Stochastics '98, (Praha, CZ, 23.08.1998-28.08.1998) (1998)
  85. Fabián Zdeněk, Morales D., Pardo L., Vajda Igor: Testing in Exponential Families by Means of the Rényi Distances , Prague Stochastics'98, p. 137-142 , Eds: Hušková M., Lachout P., Víšek J. Á., Union of Czech Mathematicians and Physicists, (Prague 1998) , Prague Symposium on Asymptotic Statistics /6./ - Prague Conference on Information Theory /13./, (Prague, CZ, 23.08.1998-28.08.1998) (1998)
  86. Morales D., Pardo L., Vajda Igor: Testing Simple and Composite Hypotheses in Convergent Exponential Families, ÚTIA AV ČR, (Praha 1998) Research Report 1922 (1998)
  87. Menéndez M. L., Morales D., Pardo L., Vajda Igor: About Parametric Estimation and Testing Based on Sample Quantiles, ÚTIA AV ČR, (Praha 1997) Research Report 1899 (1997)
  88. Vajda Igor, Grim Jiří: About the maximum information and maximum likelihood principles in neural networks , Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, p. 189-197 , Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997) (1997)
  89. Kůs V., Vajda Igor: A Comparative Study of Nonparametric Density Estimates, ÚTIA AV ČR, (Praha 1996) Research Report 1892 (1996)
  90. Vajda Igor, Grim Jiří: About Optimality of Probabilistic Basic Function Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1887 (1996)
  91. Vajda Igor: About perceptron realizations of Bayesian decisions , IEEE International Conference on Neural Networks, p. 253-257, IEEE, (New York 1996) , IEEE International Conference on Neural Networks, (Washington, US, 03.06.1996-06.06.1996) (1996)
  92. Morales D., Pardo L., Vajda Igor: About the Behaviour of Rényi's Divergence Statistics under Null Composite Hypotheses, ÚTIA AV ČR, (Praha 1996) Research Report 1870 (1996)
  93. Vajda Igor, Kůs V.: Adaptive Density Estimates for ATM Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1893 (1996)
  94. Kůs V., Vajda Igor: Asymptotic Formulas and Density Estimates for Call Admission Control, ÚTIA AV ČR, (Praha 1996) Research Report 1891 (1996)
  95. Feglar T., Vajda Igor: Models of information networks with security services , Proceedings of the 1st International Conference on the Theory and Applications of Cryptology, p. 177-182 , Eds: Přibyl J., Czech Technical University, (Prague 1996) , PRAGOCRYPT '96, (Prague, CZ, 30.09.1996-03.10.1996) (1996)
  96. van der Meulen E. C., Vajda Igor: Nonparametric density estimates consistent in x2-divergence , World Congress of the Bernoulli Society. Abstracts, p. 464 , Eds: Pflug G., Bernoulli Society, (Vienna 1996) , World Congress of the Bernoulli Society /4./, (Vienna, AT, 26.08.1996-31.08.1996) (1996)
  97. Vajda Igor, Grim Jiří: On Information Theoretic Optimality of Radial Basis Function Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1864 (1996)
  98. Vajda Igor: Perceptron approximations to Bayesian decisions about random processes , Third European Congress on Systems Science, p. 989-992 , Eds: Pessa E., Penna M. P., Edizioni Kappa, (Roma 1996) , European Congress on Systems Science /3./, (Rome, IT, 01.10.1996-04.10.1996) (1996)
  99. Janžura Martin, Vajda Igor: A sufficient condition for the consistency of parameter estimates , Proceedings of the IEEE Information Theory Workshop, p. 9 , Eds: Podemski R., IEEE, (Poznan 1995) IEEE Information Theory Society. , ITW '95, (Rydzyna, PL, 25.06.1995-29.06.1995) (1995)
  100. Menéndez M. L., Morales D., Pardo L., Vajda Igor: About Phi-Divergence Goodness-of-Fit Tests in the Dirichlet-Multinomial Model, ÚTIA AV ČR, (Praha 1995) Research Report 1846 (1995)
  101. Vajda Igor, Veselý A.: Classification of random signals by neural networks , Proceedings of the 14th International Congress on Cybernetics, p. 102-106, Association Intern. de Cybernetique, (Namur 1995) , International Congress on Cybernetics /14./, (Namur, BE, 21.08.1995-25.08.1995) (1995)
  102. Vajda Igor: Information-Theoretic Methods in Statistics, ÚTIA AV ČR, (Praha 1995) Research Report 1834 (1995)
  103. Vajda Igor, Kůs V.: Relations Between Divergences, Total Variations and Euclidean Distances, ÚTIA AV ČR, (Praha 1995) Research Report 1853 (1995)
  104. Vajda Igor: Approximate ML-estimates of random processes , Proceedings 1994 IEEE International Symposium on Information Theory, p. 436, IEEE, (Piscataway 1994) , IEEE International Symposium on Information Theory, (Trondheim, NO, 27.06.1994-01.07.1994) (1994)
  105. Vajda Igor: Conditions for consistency of MLE's , Asymptotic Statistics. Proceedings, p. 459-466 , Eds: Mandl P., Hušková M., PhysicaVerlag, (Heidelberg 1994) , Asymptotic Statistics /5./, (Prague, CZ, 04.09.1993-09.09.1993) (1994)
  106. Vajda Igor, Kůs V.: Dimensionality reduction by projecting probability distributions on simple families , Computer-Intensive Methods in Control and Signal Processing, p. 53-61 , Eds: Kulhavá L., Kárný M., Warwick K., ÚTIA AV ČR, (Praha 1994) , IEEE Workshop CMP '94, (Praha, CZ, 07.09.1994-09.09.1994) (1994)
  107. Vajda Igor: From perceptron to the Boltzman machine: Information processing by cognitive networks , Tercera Escuela Europea de Sistemas, p. 65-68 , Eds: Figueras L. F., Universitat de Valencia, (Valencia 1994) , Tercera Escuela Europea de Sistemas, (Valencia, ES, 18.10.1994-22.10.1994) (1994)
  108. Györfi L., Vajda Igor, van der Meulen E. C.: Parameter estimation by projecting on structural statistical models , Asymptotic Statistics. Proceedings, p. 261-272 , Eds: Mandl P., Hušková M., PhysicaVerlag, (Heidelberg 1994) , Asymptotic Statistics /5./, (Prague, CZ, 04.09.1993-09.09.1993) (1994)
  109. Vajda Igor, Morvai G.: A Survay on Log-Optimum Portfolio Selection , Second European Congress on Systems Science, p. 936-944, Afcet, (Paris 1993) , European Congress on Systems Science /2./, (Prague, CZ, 05.10.1993-08.10.1993) (1993)
  110. Vajda Igor: Maximum Likelihood Estimates and Entropy , Sixth Joint Swedish-Russian International Workshop on Information Theory, p. 425-428 , Eds: Mansson L., Studentlitteratur, (Lund 1993) , International Workshop on Information Theory /6./, (Mölle, SE, 22.08.1993-27.08.1993) (1993)
  111. Vajda Igor: Stochastic System Optimization and Simulated Annealing , Second European Congress on Systems Science, p. 929-935, Afcet, (Paris 1993) , European Congress on Systems Science /2./, (Prague, CZ, 05.10.1993-08.10.1993) (1993)
  112. Vajda Igor: Conditions for Consistency of Minimum Contrast Estimators and M-Estimators , Sborník prací letní školy JČMF ROBUST '92, p. 185-207 , Eds: Antoch J., Dohnal G., JČMF, (Praha 1992) , ROBUST '92, (Herbertov, CS, 14.09.1992-18.09.1992) (1992)
  113. Vajda Igor: Consistent Estimation of Distributions from Polish Spaces Using Minimum Distance , Transactions of the Eleventh Prague Conference on Information Theory, Statistical Decision Functions, Random Processes, p. 423-427 , Eds: Víšek J. Á., Academia, (Prague 1992) , Prague Conference on Information Theory, Statistical Decision Functions and Random Processes /11./, (Prague, CS, 27.08.1990-31.08.1990) (1992)
  114. Györfi L., Vajda Igor, van der Meulen E. C.: Family of Point Estimates Yielded by L1-Consistent Density Estimate , International Conference on L1-Statistical Analysis and Related Methods, p. 415-430 , Eds: Dodge Y., Elsevier, (Amsterdam 1992) , International Conference on L1-Statistical Analysis and Related Methods, (Neuchatel, CH, 17.08.1992-22.08.1992) (1992)
  115. Vajda Igor: f-Divergences and Statistical Inference , Transactions of DISTANCIA '92, p. 405-408 , Eds: Joly S., Le Calve G., Université Rennes, (Rennes 1992) , DISTANCIA '92, (Rennes, FR, 22.06.1992-26.06.1992) (1992)
  116. Vajda Igor: Qualitative and Quantitative Information in Systems , Second European School of Systems Science, p. 321-328 , Eds: Andreewsky E., Mehl L., Saint-Paul L., AFCET, (Paris 1992) , European School of Systems Science /2./, (Sainte-Odile, FR, 06.10.1992-11.10.1992) (1992)
  117. Vajda Igor, Liese F.: Asymptotic Normality of M-estimators in Nonlinear Regression, ÚTIA ČSAV, (Praha 1991) Research Report 1714 (1991)
  118. Vajda Igor: Asymptotic Rényi Distances and the Problem of Signal Detection , Proceedings of the IEEE Symposium on Information Theory, p. 72-73, IEEE, (New York 1991) , Symposium of the IEEE on Information Theory, (Budapest, HU, 25.06.1991-29.06.1991) (1991)
  119. Vajda Igor, Liese F.: Consistency of M-estimators in Nonlinear Regression, ÚTIA ČSAV, (Praha 1991) Research Report 1713 (1991)
  120. Liese F., Rukhin A. L., Vajda Igor: Consistent Estimation in the Case of Regression Data Fields, ÚTIA ČSAV, (Praha 1991) Research Report 1715 (1991)
  121. Teboulle M., Vajda Igor: Convergence of Best phí-Entropy Estimates, University of Maryland, (Baltimore 1991) Research Report 91-22 (1991)
  122. Vajda Igor: Asymptotic Rényi Distances , Mathematische Stochastik, p. 19 , Eds: Föllmer H., Mathematisches Forschungsinstitut, (Oberwolfach 1990) , Mathematische Stochastik, (Oberwolfach, DB, 11.03.1990-17.03.1990) (1990)
  123. Vajda Igor, Přibyl J.: Error Statistics in Data Networks , Transactions of COMNET '90, p. 95-104, J.von Neumann, (Budapest 1990) , COMNET '90, (Budapest, HU, 22.06.1990-24.06.1990) (1990)
  124. Vajda Igor: Teorie informace a teleinformatika , Projektování a provoz systémů teleinformatiky, p. 170-175 , Eds: Přibyl J., ČSVTS, (Brno 1990) , DROMS '90, (Brno, CS, 12.06.1990-13.06.1990) (1990)
  125. Vajda Igor: Alfa-odhady polohy, ÚTIA ČSAV, (Praha 1989) Research Report 1618 (1989)
  126. Vajda Igor: Distances of Stochastic Processes and their Statistical Applications , Robustness and Mathematical Statistics, p. 231-232, Banach Internat.Mathem.Center, (Warszawa 1989) , Semester on Robustness and Mathematical Statistics. /33./, (Warszawa, PL, 05.03.1989-06.03.1989) (1989)
  127. Vajda Igor: Error prevention as an alternative to error correction, ÚTIA ČSAV, (Praha 1989) Research Report 1572 (1989)
  128. Nedoma Jiří, Vajda Igor: Komprese řečového signálu na nízkou úroveň rychlosti přenosu informace , Analýza, syntéza a rozpoznávání řeči, p. 3-11 , Eds: Uhlíř J., ČSVTSFELČVUT, (Praha 1989) Knižnice ČSVTS-FEL , Analýza, syntéza a rozpoznávání řeči, (Praha, CS, 26.09.1989-29.09.1989) (1989)
  129. Vajda Igor: Rate of Discrimination Between Random Processes and Fields , 5. Vilnius International Conference on Probability Theory and Mathematical Statistics, p. 202-203 , Eds: Gečiauskas E., Institut matematiki i kybernetiki, (Vilnius 1989) , Vilnius conference on probability theory and mathematical statistics /5./, (Vilnius, SU, 25.06.1989-30.06.1989) (1989)
  130. Vajda Igor: Rate of Discrimination Between Random Processes and Fields , PROBASTAT '89. Zborník príspevkov, p. 134-135, VVTŠ, (Liptovský Mikuláš 1989) , PROBASTAT '89, (Liptovský Mikuláš, CS, 03.09.1989-08.09.1989) (1989)
  131. Vajda Igor, Michálek Jiří: Statistical Applications of Rényi Distances , Robustness and Nonparametric Statistics. Proceedings, p. 151-152 , Eds: Bednarski T., Banach Center, (Warszawa 1989) , Semester on Robustness and Nonparametric Statistics./33./, (Warszawa, PL, 00.03.1989-00.03.1989) (1989)
  132. Feistauerová Jaroslava, Vacík Jaroslav, Vajda Igor: Výzkum úsporného zápisu kódové knihy do paměti a programy pro počítače řady PC/PX, ÚTIA ČSAV, (Praha 1989) Research Report 1631 (1989)
Responsible for information: admin
Last modification: 03.09.2008
Institute of Information Theory and Automation