Institute of Information Theory and Automation
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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.
  2. Vajda Igor, Grim Jiří: Neural networks , Systems Science and Cybernetics , Eds: Parra-Luna Francisco Download
  3. 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)
  4. Janžura Martin, Otáhal Antonín, Vajda Igor: Teorie informace, Masarykův ústav vyšších studií ČVUT, (Praha 1991)
  5. Vajda Igor, Přibyl J.: Error Statistics in Data Networks , Computer Networking, p. 145-153 , Eds: Csaba L., NorthHolland, (Amsterdam 1990)
  6. Vajda Igor: Rényi Distances of Some Diffusion Processes , Probability Theory and Mathematical Statistics, p. 529-534 , Eds: Statulevičius V., Mokslas, (Vilnius 1990)
  7. 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)
  8. Vajda Igor: Theory of Statistical Inference and Information, Kluwer Academic Publishers, (Dordrecht 1989)

Journal articles

  1. 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
  2. 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
  3. 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 Download
  4. Šindelář Jan, Vajda Igor, Kárný Miroslav: Stochastic control optimal in the Kullback sense , Kybernetika vol.44, 1 (2008), p. 53-60 Download
  5. 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
  6. Vajda Igor, Zvárová Jana: On generalized entropies, Bayesian decisions and statistical diversity , Kybernetika vol.43, 5 (2007), p. 675-696
  7. Vajda Igor, Stummer W.: Optimal statistical decisions about some alternative financial models , Journal of Econometrics vol.137, 2 (2007), p. 441-471
  8. Vajda Igor, Liese F., Morales D.: Asymptotically sufficient partitions and quantizations , IEEE Transactions on Information Theory vol.52, 12 (2006), p. 5599-5606
  9. Berlinet A., Vajda Igor: On asymptotic sufficiency and optimality of quantizations , Journal of Statistical Planning and Inference vol.136, 12 (2006), p. 4217-4237
  10. 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
  11. 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
  12. Zvárová Jana, Vajda Igor: On Genetic Information, Diversity and Distance , Methods of Information in Medicine vol.45, 2 (2006), p. 173-179
  13. 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
  14. 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
  15. 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
  16. 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
  17. Liese F., Vajda Igor: A general asymptotic theory of M-estimators II , Mathematical Methods of Statistics vol.13, 1 (2004), p. 82-95
  18. 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
  19. Liese F., Vajda Igor: A general asymptotic theory of M-estimators I , Mathematical Methods of Statistics vol.12, 4 (2003), p. 454-477
  20. 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
  21. 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
  22. Vajda Igor: Asymptotic laws for stochastic disparity statistics , Tatra Mountains Mathematical Publications vol.26, 1 (2003), p. 1-12
  23. Fabián Zdeněk, Vajda Igor: Core Functions and Core Divergences of Regular Distribution , Kybernetika vol.39, 1 (2003), p. 29-42
  24. 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
  25. Pardo M. C., Vajda Igor: On asymptotic properties of information-theoretic divergences , IEEE Transactions on Information Theory vol.49, 7 (2003), p. 1860-1868
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. Berlinet A., Hobza Tomáš, Vajda Igor: Generalized piecewise linear histograms , Statistica Neerlandica vol.56, 3 (2002), p. 301-313
  32. Vajda Igor: On convergence of information contained in quantized observations , IEEE Transactions on Information Theory vol.48, 8 (2002), p. 2163-2172
  33. 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
  34. Györfi L., Vajda Igor: A class of modified Pearson and Neyman statistics , Statistics & Decisions vol.19, p. 239-251
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. Berlinet A., Vajda Igor: Nonnegative piecewise linear histograms , Statistics vol.35, 4 (2001), p. 295-317
  41. Hobza T., Vajda Igor: On the Newcomb-Benford law in models of statistical data , Revista Mathématica Complutense vol.14, 2 (2001), p. 1-13
  42. Vajda Igor, van der Meulen E. C.: Optimization of Barron density estimates , IEEE Transactions on Information Theory vol.47, 5 (2001), p. 1867-1883
  43. Vajda Igor: Optimization of Barron density estimates under the chi-square criterion , Statistical Review vol.5, 2 (2001), p. 395-396
  44. 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
  45. Darbellay Georges A., Vajda Igor: Entropy expressions for multivariate continuous distributions , IEEE Transactions on Information Theory vol.46, 2 (2000), p. 709-712
  46. 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
  47. 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
  48. Morales D., Pardo L., Vajda Igor: Rényi statistics in directed families of exponential experiments , Statistics vol.34, 1 (2000), p. 151-174
  49. 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
  50. 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
  51. Liese F., Vajda Igor: M-estimators of structural parameters in pseudolinear models , Applications of Mathematics vol.44, 4 (1999), p. 245-270
  52. Vajda Igor: On consistency of M-estimators in models with a linear substructure: Part 1 , Discussiones Mathematicae vol.19, 2 (1999), p. 355-373
  53. Vajda Igor: On consistency of M-estimators in models with a linear substructure: Part 2 , Discussiones Mathematicae vol.19, 2 (1999), p. 375-392
  54. 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
  55. Vajda Igor, Grim Jiří: About the maximum information and maximum likelihood principles in neural networks , Kybernetika vol.34, 4 (1998), p. 485-494
  56. 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
  57. Györfi L., Liese F., Vajda Igor, van der Meulen E. C.: Distribution estimates consistent in x2-divergence , Statistics vol.32, p. 31-57
  58. Vajda Igor: Global information in statistical experiments and consistency of likelihood-based estimates and tests , Kybernetika vol.34, 3 (1998), p. 245-263
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. Rukhin A. L., Vajda Igor: Change-point estimation as a nonlinear regression problem , Statistics vol.30, p. 181-200
  65. Vajda Igor, Janžura Martin: On asymptotically optimal estimates for general observations , Stochastic Processes and their Applications vol.72, 1 (1997), p. 27-45
  66. Vajda Igor, Veselý A.: Perceptron approximations to Bayesian descrimination and classification of random signals , Neural Network World vol.3, 4 (1997), p. 305-323
  67. 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
  68. 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
  69. 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
  70. Morales D., Pardo L., Vajda Igor: Divergence between various estimates of quantized information sources , Kybernetika vol.32, 4 (1996), p. 395-407
  71. 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
  72. 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
  73. 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
  74. 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
  75. Rukhin A. L., Vajda Igor: Adaptive decision making for stochastic processes , Journal of Statistical Planning and Inference vol.45, p. 313-329
  76. 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
  77. Vajda Igor: Conditions equivalent to consistency of approximate MLE's for stochastic processes , Stochastic Processes and their Applications vol.56, p. 35-56
  78. 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
  79. Liese F., Vajda Igor: Necessary and sufficient conditions for consistency of generalized M-estimates , Metrika vol.42, p. 291-324
  80. Vajda Igor: Statistical tests of optimality of source codes , Kybernetika vol.31, 4 (1995), p. 321-330
  81. Liese F., Vajda Igor: Consistency of M-estimates in general regression models , Journal of Multivariate Analysis vol.50, 1 (1994), p. 93-114
  82. 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
  83. Vajda Igor, Österreicher F.: Statistical analysis and applications of log-optimal investments , Kybernetika vol.30, 3 (1994), p. 331-342
  84. 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
  85. 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
  86. 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
  87. Teboulle M., Vajda Igor: Convergence of Best phi-Entropy Estimates , IEEE Transactions on Information Theory vol.39, 1 (1993), p. 297-301
  88. Vajda Igor, Österreicher F.: Existence, Uniqueness and Evaluation of Log-Optimal Investment Portfolio , Kybernetika vol.29, 2 (1993), p. 105-120
  89. 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
  90. 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
  91. Österreicher F., Vajda Igor: Statistical Information and Discrimination , IEEE Transactions on Information Theory vol.39, 3 (1993), p. 1036-1039
  92. 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
  93. 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
  94. Vajda Igor: Distances and Discrimination Rates for Stochastic Processes , Stochastic Processes and their Applications vol.35, 1 (1990), p. 47-57
  95. Vajda Igor: Generalization of Discrimination-Rate Theorems of Chernoff and Stein , Kybernetika vol.26, 4 (1990), p. 273-288

Other publications

  1. Vajda Igor, van der Meulen E. C.: Asymptotic properties of spacings-based divergence statistics, ÚTIA AV ČR, (Praha 2008) Research Report 2241 Download
  2. Vajda Igor, Stummer W.: Bregman distances in exponential families of probability distributions, ÚTIA AV ČR, (Praha 2008) Research Report 2008/7 Download
  3. Vajda Igor, Harremoës P.: Consistency of various divergence statistics, ÚTIA AV ČR, (Praha 2008) Research Report 2218
  4. Berlinet A., Vajda Igor: Divergence Criteria for Improved Selection Rules, ÚTIA AV ČR, (Praha 2008) Internal Publication 2008/5 Download
  5. Vajda Igor: Divergence-based statistical decisions , Information and Communication Conference, Abstracts, Information and Communication, (Budapest, HU, 25.08.2008 - 28.08.2008) Download
  6. 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) Download
  7. Harremoës P., Vajda Igor: Efficiency of Entropy Testing, ÚTIA AV ČR, (Praha 2008) Internal Publication 2008/2
  8. Berlinet A., Vajda Igor: Extensions of a Devroye-Lugosi theorem, ÚTIA AV ČR, (Praha 2008) Research Report 2240 Download
  9. Vajda Igor, Morales D.: Generalized information criteria for optimal Bayes decisions, ÚTIA AV ČR, (Praha 2008) Research Report 2239 Download
  10. Vajda Igor: Modifications of divergence criteria in continuous families, ÚTIA AV ČR, (Praha 2008) Research Report 2230 Download
  11. Vajda Igor: On efficiencies of decisions about statistical models based on f-divergences of empirical distributions , Sborník Abstraktů pro ROBUST 2008, ROBUST 2008, (Pribylina, SK, 08.09.2008 - 12.09.2008) Download
  12. 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 Download
  13. Vajda Igor: Application of Phi-divergence to Estimation in Continuous Families, ÚTIA AV ČR, (Praha 2007) Research Report 2007/8
  14. Vajda Igor, Harremoës P.: Efficient Testing of Uniformity using Power Divergence Statistics, ÚTIA AV ČR, (Praha 2007) Research Report 2007/4
  15. 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)
  16. 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.
  17. Morales D., Vajda Igor: Generalized Informations and Bayesian Errors, ÚTIA AV ČR, (Praha 2007) Internal Publication 2007/18
  18. Vajda Igor: Limit Laws for f-disparity Statistics under Local Alternatives, ÚTIA AV ČR, (Praha 2007) Research Report 2007/11
  19. Vajda Igor: O divergenci a fluktuaci proměnných veličin a pravděpodobnostních distribucí, ÚTIA AV ČR, (Praha 2007) Research Report 2007/10
  20. Stummer W., Vajda Igor: On Divergences of Finite Measures and Their Applications in Censoring, ÚTIA AV ČR, (Praha 2007) Research Report 2007/7
  21. Stummer W., Vajda Igor: On Divergences of Finite Measures and their Statistical Applicability, ÚTIA AV ČR, (Praha 2007) Research Report 2007/14
  22. Boček Pavel, Vajda Igor: Testování hypotéz o násobných multinomiálních modelech, ÚTIA AV ČR, (Praha 2007) Research Report 2007/15
  23. 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) Download
  24. 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 Download
  25. Vajda Igor: Divergence pravděpodobnostních distribucí a statistická informace, ÚTIA AV ČR, (Praha 2006) Research Report 2168
  26. Liese F., Vajda Igor: Divergences and their applications in sufficiency, deficiency and testing of hypotheses, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/16 Download
  27. Vajda Igor: Divergence-Based Extension of the Maximum Likehood Method, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/10
  28. 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 Download
  29. 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
  30. Vajda Igor: On asymptotic distributions of f-disparity statistics under local alternatives, ÚTIA AV ČR, (Praha 2006) Research Report 2169
  31. Liese F., Vajda Igor: On Divergences and their new Applications in Statistics and Information Theory, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/12
  32. 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)
  33. 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)
  34. Vajda Igor: On two types of phi-divergence goodness-of-fit statistics, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/13 Download
  35. Hobza Tomáš, Pardo L., Vajda Igor: Robust Median Estimator in Logistic Regression, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/31
  36. 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 Download
  37. 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
  38. Boček Pavel, Marek Tomáš, Vajda Igor: Discrete Efficient Methods 1: Testing Compound Hypotheses, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/15
  39. Marek Tomáš, Vajda Igor, Vrbenský Karel: Minimum divergence adaptation of bivariate distributions, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/44
  40. Berlinet A., Vajda Igor: On Asymptotic Sufficiency and Optimality of Quantizations, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/18
  41. Liese F., Vajda Igor: On Divergence and Informations in Statistics and Information Theory, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/31
  42. 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
  43. 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)
  44. Stummer W., Vajda Igor: Optimal Statistical Decision About Some Alternative Financial Models, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/35
  45. Hobza T., Pardo L., Vajda Igor: Robust Median Estimators in General Logistic Regression, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/40
  46. 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)
  47. 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
  48. 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)
  49. 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)
  50. Pardo M. C., Pardo L., Vajda Igor: Testing Homogeneity of Independent Samples from Arbitrary Models, ÚTIA AV ČR, (Praha 2004) Research Report 2104
  51. Fabián Zdeněk, Vajda Igor: Core Functions and Core Divergences of Regular Distributions, ICS AS CR, (Prague 2002) Research Report V-863
  52. 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
  53. 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)
  54. Fabián Zdeněk, Vajda Igor: Core Distance of Probability Distributions, ICS AS CR, (Prague 2001) Research Report V-812
  55. Liese F., Vajda Igor: First Order Theory of M-estimators in General Models with Independent Observations, ÚTIA AV ČR, (Praha 2001) Research Report 2017
  56. 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)
  57. Hobza Tomáš, Vajda Igor, Vrbenský Karel: Estimation of Distribution in Telecommunication Networks and its Optimization, ÚTIA AV ČR, (Praha 2000) Research Report 2001
  58. 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)
  59. Liese F., Vajda Igor: A General Asymptotic Theory of M-Estimators, ÚTIA AV ČR, (Praha 1999) Research Report 1951
  60. 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)
  61. 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
  62. 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)
  63. 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)
  64. Feglar T., Vajda Igor, Janžura Martin: Optimal Design of Communication Networks, ÚTIA AV ČR, (Praha 1999) Research Report 1978
  65. 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)
  66. Berlinet A., Hobza T., Vajda Igor: Analysis of Some New Histogram Based Estimators, Université Montpellier, (Montpellier 1998) Research Report 98-09
  67. 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)
  68. Darbellay Georges A., Vajda Igor: Entropy Expressions for Continuous Multivariate Distributions, ÚTIA AV ČR, (Praha 1998) Research Report 1920
  69. Darbellay Georges A., Vajda Igor: Estimation of the Mutual Information with Data-dependent Partitions, ÚTIA AV ČR, (Praha 1998) Research Report 1921
  70. 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)
  71. 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)
  72. Vajda Igor: On Consistency of M-estimators in Models with a Linear Substructure, ÚTIA AV ČR, (Praha 1998) Research Report 1931
  73. 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)
  74. 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
  75. 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)
  76. 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)
  77. Morales D., Pardo L., Vajda Igor: Testing Simple and Composite Hypotheses in Convergent Exponential Families, ÚTIA AV ČR, (Praha 1998) Research Report 1922
  78. 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
  79. 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)
  80. Kůs V., Vajda Igor: A Comparative Study of Nonparametric Density Estimates, ÚTIA AV ČR, (Praha 1996) Research Report 1892
  81. Vajda Igor, Grim Jiří: About Optimality of Probabilistic Basic Function Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1887
  82. 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)
  83. 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
  84. Vajda Igor, Kůs V.: Adaptive Density Estimates for ATM Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1893
  85. Kůs V., Vajda Igor: Asymptotic Formulas and Density Estimates for Call Admission Control, ÚTIA AV ČR, (Praha 1996) Research Report 1891
  86. 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)
  87. 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)
  88. Vajda Igor, Grim Jiří: On Information Theoretic Optimality of Radial Basis Function Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1864
  89. 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)
  90. 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)
  91. 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
  92. 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)
  93. Vajda Igor: Information-Theoretic Methods in Statistics, ÚTIA AV ČR, (Praha 1995) Research Report 1834
  94. Vajda Igor, Kůs V.: Relations Between Divergences, Total Variations and Euclidean Distances, ÚTIA AV ČR, (Praha 1995) Research Report 1853
  95. 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)
  96. 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)
  97. 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)
  98. 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)
  99. 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)
  100. 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)
  101. 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)
  102. 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)
  103. 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)
  104. 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)
  105. 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)
  106. 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)
  107. 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)
  108. Vajda Igor, Liese F.: Asymptotic Normality of M-estimators in Nonlinear Regression, ÚTIA ČSAV, (Praha 1991) Research Report 1714
  109. 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)
  110. Vajda Igor, Liese F.: Consistency of M-estimators in Nonlinear Regression, ÚTIA ČSAV, (Praha 1991) Research Report 1713
  111. Liese F., Rukhin A. L., Vajda Igor: Consistent Estimation in the Case of Regression Data Fields, ÚTIA ČSAV, (Praha 1991) Research Report 1715
  112. Teboulle M., Vajda Igor: Convergence of Best phí-Entropy Estimates, University of Maryland, (Baltimore 1991) Research Report 91-22
  113. 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)
  114. 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)
  115. 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)
  116. Vajda Igor: Alfa-odhady polohy, ÚTIA ČSAV, (Praha 1989) Research Report 1618
  117. 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)
  118. Vajda Igor: Error prevention as an alternative to error correction, ÚTIA ČSAV, (Praha 1989) Research Report 1572
  119. 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)
  120. 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)
  121. 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)
  122. 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)
  123. 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
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Last modification: 03.09.2008
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