F. Liese

  1. Vajda Igor, Liese F. :  f-divergences: Sufficiency, deficiency and testing of hypotheses , Advances in Inequalities from Probability Theory and Statistics, p. 113-149 , Eds: Barnett Neil, Dragomir Sever [2008] Download
  2. Vajda Igor, Liese F. :  Convex statistical distances, Teubner, (Leipzig 1987) Teubner-Texte zur Mathematik vol.95 [1987]

  1. Vajda Igor, Liese F., Morales D. :  Asymptotically sufficient partitions and quantizations , IEEE Transactions on Information Theory vol.52, 12 (2006), p. 5599-5606 [2006]
  2. 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]
  3. Liese F., Vajda Igor :  A general asymptotic theory of M-estimators II , Mathematical Methods of Statistics vol.13, 1 (2004), p. 82-95 [2004]
  4. 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]
  5. Liese F., Vajda Igor :  A general asymptotic theory of M-estimators I , Mathematical Methods of Statistics vol.12, 4 (2003), p. 454-477 [2003]
  6. 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]
  7. Liese F., Vajda Igor :  M-estimators of structural parameters in pseudolinear models , Applications of Mathematics vol.44, 4 (1999), p. 245-270 [1999]
  8. Györfi L., Liese F., Vajda Igor, van der Meulen E. C. :  Distribution estimates consistent in x2-divergence , Statistics vol.32, p. 31-57 [1998]
  9. Liese F., Vajda Igor :  Necessary and sufficient conditions for consistency of generalized M-estimates , Metrika vol.42, p. 291-324 [1995]
  10. Liese F., Vajda Igor :  Consistency of M-estimates in general regression models , Journal of Multivariate Analysis vol.50, 1 (1994), p. 93-114 [1994]

  1. 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]
  2. 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]
  3. Liese F., Vajda Igor :  On Divergence and Informations in Statistics and Information Theory, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/31 [2005]
  4. 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]
  5. 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]
  6. Liese F., Vajda Igor :  A General Asymptotic Theory of M-Estimators, ÚTIA AV ČR, (Praha 1999) Research Report 1951 [1999]
  7. 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]