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2010 – 2019
- 2017
[j59]Yury N. Dementyev
, Igor Vajda, N. V. Koyain, Kirill N. Negodin, K. V. Obraztsov:
Optimization of the control loops of the variable frequency induction motor drive of the flame reactor feed screw. EAI Endorsed Trans. Energy Web 3(11): e4 (2017)- 2012
- [j58]Michel Broniatowski, Igor Vajda:
Several applications of divergence criteria in continuous families. Kybernetika 48(4): 600-636 (2012) - [j57]Domingo Morales, Igor Vajda:
Generalized information criteria for Bayes decisions. Kybernetika 48(4): 714-749 (2012) - [j56]Tomás Hobza, Leandro Pardo, Igor Vajda:
Robust median estimator for generalized linear models with binary responses. Kybernetika 48(4): 768-794 (2012) - [j55]Iva Frýdlová, Igor Vajda, Václav Kus:
Modified power divergence estimators in normal models - simulation and comparative study. Kybernetika 48(4): 795-808 (2012) - [j54]Wolfgang Stummer, Igor Vajda:
On Bregman Distances and Divergences of Probability Measures. IEEE Trans. Inf. Theory 58(3): 1277-1288 (2012) - 2011
- [j53]Peter Harremoës, Igor Vajda:
On Pairs of f -Divergences and Their Joint Range. IEEE Trans. Inf. Theory 57(6): 3230-3235 (2011) - 2010
- [c4]Peter Harremoës, Igor Vajda:
Joint range of f-divergences. ISIT 2010: 1345-1349 - [i3]Peter Harremoës, Igor Vajda:
Joint Range of f-divergences. CoRR abs/1001.4432 (2010) - [i2]Peter Harremoës, Igor Vajda:
On Pairs of f-divergences and their Joint Range. CoRR abs/1007.0097 (2010)
2000 – 2009
- 2009
- [j52]Igor Vajda:
On Metric Divergences of Probability Measures. Kybernetika 45(6): 885-900 (2009) - [i1]Wolfgang Stummer, Igor Vajda:
On Bregman Distances and Divergences of Probability Measures. CoRR abs/0911.2784 (2009) - 2008
- [j51]Jan Sindelár, Igor Vajda, Miroslav Kárný:
Stochastic control optimal in the Kullback sense. Kybernetika 44(1): 53-60 (2008) - [j50]Václav Kus, Domingo Morales, Igor Vajda:
Extensions of the parametric families of divergences used in statistical inference. Kybernetika 44(1): 95-112 (2008) - [j49]Peter Harremoës, Igor Vajda:
On the Bahadur-Efficient Testing of Uniformity by Means of the Entropy. IEEE Trans. Inf. Theory 54(1): 321-331 (2008) - [c3]Peter Harremoës, Igor Vajda:
Efficiency of entropy testing. ISIT 2008: 2639-2643 - 2007
- [j48]Igor Vajda, Jana Zvárová:
On generalized entropies, Bayesian decisions and statistical diversity. Kybernetika 43(5): 675-696 (2007) - [c2]Peter Harremoës, Igor Vajda:
Entropy Testing is Efficient. ISIT 2007: 1841-1845 - 2006
- [j47]F. Liese, Igor Vajda:
On Divergences and Informations in Statistics and Information Theory. IEEE Trans. Inf. Theory 52(10): 4394-4412 (2006) - [j46]F. Liese, Domingo Morales, Igor Vajda:
Asymptotically Sufficient Partitions and Quantizations. IEEE Trans. Inf. Theory 52(12): 5599-5606 (2006) - 2005
- [j45]Domingo Morales, Leandro Pardo, Igor Vajda:
On the optimal number of classes in the Pearson goodness-of-fit tests. Kybernetika 41(6): 677-698 (2005) - [j44]Igor Vajda, Edward C. van der Meulen:
On minimum divergence adaptation of discrete bivariate distributions to given marginals. IEEE Trans. Inf. Theory 51(1): 313-320 (2005) - 2003
- [j43]Zdenek Fabián, Igor Vajda:
Core functions and core divergences of regular distributions. Kybernetika 39(1): 29-42 (2003) - [j42]M. C. Pardo, Igor Vajda:
On asymptotic properties of information-theoretic divergences. IEEE Trans. Inf. Theory 49(7): 1860-1867 (2003) - 2002
- [j41]Igor Vajda:
On convergence of information contained in quantized observations. IEEE Trans. Inf. Theory 48(8): 2163-2172 (2002) - 2001
- [j40]Pavel Bocek, Tomás Feglar, Martin Janzura, Igor Vajda:
Prognosis and optimization of homogeneous Markov message handling networks. Kybernetika 37(6): 625-646 (2001) - [j39]Igor Vajda, Edward C. van der Meulen:
Optimization of Barron density estimates. IEEE Trans. Inf. Theory 47(5): 1867-1883 (2001) - 2000
- [j38]Georges A. Darbellay, Igor Vajda:
Entropy expressions for multivariate continuous distributions. IEEE Trans. Inf. Theory 46(2): 709-712 (2000)
1990 – 1999
- 1999
- [j37]María Luisa Menéndez, Domingo Morales, Leandro Pardo, Igor Vajda:
Inference about stationary distributions of Markov chains based on divergences with observed frequencies. Kybernetika 35(3): 265-280 (1999) - [j36]Georges A. Darbellay, Igor Vajda:
Estimation of the Information by an Adaptive Partitioning of the Observation Space. IEEE Trans. Inf. Theory 45(4): 1315-1321 (1999) - 1998
- [j35]Igor Vajda:
Global information in statistical experiments and consistency of likelihood-based estimates and tests. Kybernetika 34(3): 245-263 (1998) - [j34]Igor Vajda, Jirí Grim:
About the maximum information and maximum likelihood principles. Kybernetika 34(4): 485-494 (1998) - [j33]Igor Vajda, Belomír Lonek, Viktor Nikolov, Arnost Veselý:
Neural network realizations of Bayes decision rules for exponentially distributed data. Kybernetika 34(5): 497-514 (1998) - [j32]Alain Berlinet, Igor Vajda, Edward C. van der Meulen:
About the Asymptotic Accuracy of Barron Density Estimates. IEEE Trans. Inf. Theory 44(3): 999-1009 (1998) - 1997
- [j31]María Luisa Menéndez, Domingo Morales, Leandro Pardo, Igor Vajda:
Testing in stationary models based on divergences of observed and theoretical frequencies. Kybernetika 33(5): 465-475 (1997) - [j30]M. C. Pardo, Igor Vajda:
About distances of discrete distributions satisfying the data processing theorem of information theory. IEEE Trans. Inf. Theory 43(4): 1288-1293 (1997) - 1996
- [j29]Domingo Morales, Leandro Pardo, Igor Vajda:
Divergence between various estimates of quantized information sources. Kybernetika 32(4): 395-407 (1996) - [j28]Andrew L. Rukhin, Igor Vajda:
The error probability, entropy, and equivocation when the number of input messages increases. IEEE Trans. Inf. Theory 42(6): 2228-2231 (1996) - [j27]Domingo Morales, Leandro Pardo, Igor Vajda:
Uncertainty of discrete stochastic systems: general theory and statistical inference. IEEE Trans. Syst. Man Cybern. Part A 26(6): 681-697 (1996) - [c1]Igor Vajda:
About perceptron realizations of Bayesian decisions. ICNN 1996: 253-257 - 1995
- [j26]Igor Vajda:
Statistical tests of optimality of source codes. Kybernetika 31(4): 321-330 (1995) - 1994
- [j25]Igor Vajda, Ferdinand Österreicher:
Statistical analysis and applications of log-optimal investments. Kybernetika 30(3): 331-342 (1994) - 1993
- [j24]Otto Exner, Ivan Kramosil, Igor Vajda:
Mathematical evaluation of the fit of a theory with experimental data. J. Chem. Inf. Comput. Sci. 33(3): 407-411 (1993) - [j23]Igor Vajda, Ferdinand Österreicher:
Existence, uniqueness and evaluation of log-optimal investment portfolio. Kybernetika 29(2): 105-120 (1993) - [j22]Marc Teboulle, Igor Vajda:
Convergence of best phi-entropy estimates. IEEE Trans. Inf. Theory 39(1): 297-301 (1993) - [j21]Ferdinand Österreicher, Igor Vajda:
Statistical information and discrimination. IEEE Trans. Inf. Theory 39(3): 1036-1039 (1993) - [j20]Jaroslava Feistauerova, Igor Vajda:
Testing system entropy and prediction error probability. IEEE Trans. Syst. Man Cybern. 23(5): 1352-1358 (1993) - 1990
- [j19]Igor Vajda:
Generalization of discrimination-rate theorems of Chernoff and Stein. Kybernetika 26(4): 273-288 (1990)
1980 – 1989
- 1989
- [j18]Igor Vajda:
About optimum signalling of information. Kybernetika 25(3): 175-199 (1989) - 1987
- [j17]Igor Vajda:
Alphabet-oriented and user-oriented source coding theories. Kybernetika 23(5): 388-406 (1987) - [j16]Otakar Sefl, Igor Vajda:
Spectrum-oriented source coding theory. Kybernetika 23(6): 458-475 (1987) - 1986
- [j15]Igor Vajda:
Efficiency and robustness control via distorted maximum likelihood estimation. Kybernetika 22(1): 47-67 (1986) - 1984
- [j14]Igor Vajda:
Motivation, existence and equivariance of D-estimators. Kybernetika 20(3): 189-208 (1984) - [j13]Igor Vajda:
Consistency of D-estimators. Kybernetika 20(4): 283-303 (1984) - [j12]Igor Vajda:
Asymptotic efficiency and robustness of D-estimators. Kybernetika 20(5): 358-375 (1984) - 1983
- [j11]Igor Vajda:
Estimation of probabilistic noise models based on filtration of sample noise sequences. Kybernetika 19(1): 15-26 (1983) - 1980
- [j10]Igor Vajda, Karel Eckschlager:
Analysis of a measurement information. Kybernetika 16(2): 120-144 (1980) - [j9]Igor Vajda:
Output-based estimation of communication channels. Kybernetika 16(4): 330-340 (1980)
1970 – 1979
- 1973
- [j8]Igor Vajda, Petr Nedoma:
A comparison of three optimality criteria for observation channels. Kybernetika 9(3): 174-186 (1973) - 1970
- [j7]Igor Vajda:
On the amount of information contained in a sequence of independent observations. Kybernetika 6(4): 306-324 (1970) - [j6]Igor Vajda:
Note on discrimination information and variation (Corresp.). IEEE Trans. Inf. Theory 16(6): 771-773 (1970)
1960 – 1969
- 1968
- [j5]Igor Vajda:
Axioms for a-entropy of a generalized probability scheme. Kybernetika 4(2): 105-112 (1968) - 1967
- [j4]Igor Vajda:
On the statistical decision problems with discrete parameter space. Kybernetika 3(2): 110-126 (1967) - [j3]Vladimír Majerník, Albert Perez, Igor Vajda:
Information transfer in sensory channels with an application in auditory sensorial communication. Kybernetika 3(2): 157-174 (1967) - [j2]Igor Vajda:
On the statistical decision problems with finite parameter space. Kybernetika 3(5): 451-466 (1967) - 1966
- [j1]Igor Vajda:
The synchronization problem of information theory. Kybernetika 2(4): 314-330 (1966)
Coauthor Index
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