E. C. van der Meulen

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. Györfi L., Liese F., Vajda Igor, van der Meulen E. C. :  Distribution estimates consistent in x2-divergence , Statistics vol.32, p. 31-57 [1998]
  6. 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]
  7. 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]
  8. 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]
  9. 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]

  1. Vajda Igor, van der Meulen E. C. :  Asymptotic properties of spacings-based divergence statistics, ÚTIA AV ČR, (Praha 2008) Research Report 2241 [2008] Download
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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]