I. Vajda

发表

Theory of statistical inference and information

I. Vajda, 1989 .

Two approaches to grouping of data and related disparity statistics

I. Vajda, M. Menéndez, D. Morales, 1998 .

Statistical information and discrimination

Ferdinand Österreicher, Igor Vajda, I. Vajda, 1993, IEEE Trans. Inf. Theory.

Note on discrimination information and variation (Corresp.)

Igor Vajda, I. Vajda, 1970, IEEE Trans. Inf. Theory.

On thef-divergence and singularity of probability measures

I. Vajda, 1972 .

Convex Statistical Distances

I. Vajda, F. Liese, 2018, Statistical Inference for Engineers and Data Scientists.

A new class of metric divergences on probability spaces and its applicability in statistics

I. Vajda, F. Österreicher, 2003 .

Entropy expressions for multivariate continuous distributions

Igor Vajda, Georges A. Darbellay, I. Vajda, 2000, IEEE Trans. Inf. Theory.

Large deviations of divergence measures on partitions

L. Devroye, L. Györfi, I. Vajda, 2001 .

Adaptive tests for stochastic processes in the ergodic case

A. Rukhin, I. Vajda, H. Luschgy, 1993 .

Distances and discrimination rates for stochastic processes

I. Vajda, 1990 .

Estimation of the Information by an Adaptive Partitioning of the Observation Space

Igor Vajda, Georges A. Darbellay, I. Vajda, 1999, IEEE Trans. Inf. Theory.

f-DIVERGENCES : SUFFICIENCY , DEFICIENCY AND TESTING OF HYPOTHESES

I. Vajda, F. Liese, 2006 .

A CONTRIBUTION TO THE INFORMATIONAL ANALYSIS OF PATTERN

I. Vajda, 1969 .

On Divergences and Informations in Statistics and Information Theory

Igor Vajda, F. Liese, I. Vajda, 2006, IEEE Transactions on Information Theory.

Minimum Divergence Estimators Based on Grouped Data

I. Vajda, M. Menéndez, D. Morales, 2001 .

Some New Statistics for Testing Hypotheses in Parametric Models

I. Vajda, D. Morales, L. Pardo, 1997 .

Distribution Estimates Consistent in χ2-Divergence

L. Györfi, I. Vajda, E. V. D. Meulen, 1998 .

Asymptotic divergence of estimates of discrete distributions

I. Vajda, D. Morales, L. Pardo, 1995 .

Asymptotic distributions of φ‐divergences of hypothetical and observed frequencies on refined partitions

I. Vajda, M. Menéndez, D. Morales, 1998 .

On efficiency of estimation and testing with data quantized to fixed number of cells

A. M. Mayoral, I. Vajda, D. Morales, 2003 .

Robust median estimator in logistic regression

I. Vajda, L. Pardo, T. Hobza, 2008 .

Decomposable Pseudodistances and Applications in Statistical Estimation

I. Vajda, M. Broniatowski, A. Toma, 2011, 1104.1541.

Minimum kolmogorov distance estimates of parameters and parametrized distributions

L. Györfi, I. Vajda, E. V. D. Meulen, 1996 .

Bregman distances in exponential families of probability measures

I. Vajda, W. Stummer, 2008 .

ON SIZE INCREASE FOR GOODNESS OF FIT TESTS WHEN OBSERVATIONS ARE POSITIVELY DEPENDENT

Leandro Pardo, Igor Vajda, Domingo Morales, 2002 .

D . Morales and I . Vajda : Generalized Information Criteria for Optimal Bayes Decisions

I. Vajda, D. Morales, 2010 .

Global statistical information in exponential experiments and selection of exponential models

I. Vajda, E. van der Meulen, 1998 .

On convergence of fisher informations in continuous models with quantized observations

I. Vajda, T. Hobza, I. Molina, 2005 .

Conditions equivalent and doubly equivalent to consistency of approximate MLE's

I. Vajda, 1993 .

Goodness-of-Fit Criteria Based on Observations Quantized by Hypothetical and Empirical Percentiles

I. Vajda, E. V. D. Meulen, E. Meulen, 2010 .

Divergence-type errors of smooth Barron-type density estimators

A. Berlinet, I. Vajda, J. Beirlant, 2002 .

On Efficient Estimation in Continuous Models Based on Finitely Quantized Observations

I. Vajda, D. Morales, L. Pardo, 2006 .

Rényi statistics for testing composite hypotheses in general exponential models

I. Vajda, D. Morales, L. Pardo, 2004 .

Linear Adaptive Decision Functions and Their Application to Clinical Decision

I. Vajda, A. Veselý, 1971, International Centre for Mechanical Sciences.

Consistency of various phi-divergence statistics

I. Vajda, P. Harremoës, 2008 .

Limit laws for disparities of spacings

I. Vajda, D. Morales, L. Pardo, 2003 .

Consistency of M -estimates in general regression models

I. Vajda, F. Fiese, 1994 .

On Pairs of $f$ -Divergences and Their Joint Range

Igor Vajda, Peter Harremoës, I. Vajda, 2010, IEEE Transactions on Information Theory.

Optimal statistical decisions about some alternative financial models

I. Vajda, W. Stummer, 2007 .

SOME REMARKS ON THE PROBLEM OF MODEL MATCHING BY STATE FEEDBACK

I. Vajda, O. Stepánková, P. Zítek, 2007 .

About the maximum information and maximum likelihood principles

Igor Vajda, Jirí Grim, I. Vajda, 1998, Kybernetika.

Axioms for a-entropy of a generalized probability scheme

Igor Vajda, I. Vajda, 1968, Kybernetika.

Existence, uniqueness and evaluation of log-optimal investment portfolio

Ferdinand Österreicher, Igor Vajda, I. Vajda, 1993, Kybernetika.

On the statistical decision problems with finite parameter space

Igor Vajda, I. Vajda, 1967, Kybernetika.

Extensions of the parametric families of divergences used in statistical inference

Igor Vajda, Domingo Morales, Václav Kus, 2008, Kybernetika.

Optimization of the control loops of the variable frequency induction motor drive of the flame reactor feed screw

Kirill N. Negodin, Igor Vajda, Yury N. Dementyev, 2017, EAI Endorsed Trans. Energy Web.

Analysis of a measurement information

Igor Vajda, Karel Eckschlager, I. Vajda, 1980, Kybernetika.

On the Amount of Information Resulting from Empirical and Theoretical Knowledge

I. Vajda, 2005 .

Consistency of various -divergence statistics

I. Vajda, P. Harremoës, 2008 .

Digitalization of Observations Permits Efficient Estimation in Continuous Models

I. Vajda, D. Morales, L. Pardo, 2004 .

Entropy Testing is Ef cient

I. Vajda, P. Harremoës, 2007 .

Ef ciency of Entropy Testing

I. Vajda, P. Harremoës, 2008 .

Divergence criteria for improved selection rules

A. Berlinet, I. Vajda, 2008 .

On Divergences Between Models and Data Under Hypothetical and Empirical Quantizations

I. Vajda, 2010 .

Extension of the Wald statistic to models with dependent observations

I. Vajda, D. Morales, L. Pardo, 2000 .

Necessary and sufficient conditions for consistency of M-estimates in regression models with general errors

Igor Vajda, Alain Berlinet, Friedrich Liese, 2000 .

ON THE NEWCOMB-BENFORD LAW IN MODELS OF STATISTICAL DATA

I. Vajda, T. Hobza, 2001 .

About distances of discrete distributions satisfying the data processing theorem of information theory

Igor Vajda, María del Carmen Pardo, I. Vajda, 1997, IEEE Trans. Inf. Theory.

Nonnegative piecewise linear histograms

Igor Vajda, Alain Berlinet, A. Berlinet, 2001 .

Rényi Statistics in Directed Families of Exponential Experiments*

Leandro Pardo, Igor Vajda, Domingo Morales, 2000 .

Neural Network Classification in Exponential Models with Unknown Statistics

I. Vajda, I. Vajda, 1999 .

M-estimators of structural parameters in pseudolinear models

I. Vajda, F. Liese, 1999 .

Institute of Information Theory and Automation of the AS CR

Radko Mesiar, Jan Flusser, Ivan Kramosil, 2008 .

Optimization of Barron density estimates

Edward C. van der Meulen, Igor Vajda, I. Vajda, 2001, IEEE Trans. Inf. Theory.

Uncertainty of discrete stochastic systems: general theory and statistical inference

Leandro Pardo, Igor Vajda, Domingo Morales, 1996, IEEE Trans. Syst. Man Cybern. Part A.

Conditions for Consistency of MLE’s

I. Vajda, 1994 .

On the optimal number of classes in the Pearson goodness-of-fit tests

Leandro Pardo, Igor Vajda, Domingo Morales, 2005, Kybernetika.

APPROXIMATIONS TO POWERS OF φ-DISPARITY GOODNESS-OF-FIT TESTS*

Leandro Pardo, Igor Vajda, María Luisa Menéndez, 2001 .

Motivation, existence and equivariance of D-estimators

Igor Vajda, I. Vajda, 1984, Kybernetika.

Neural network realizations of Bayes decision rules for exponentially distributed data

Igor Vajda, Arnost Veselý, Belomír Lonek, 1998, Kybernetika.

On asymptotically optimal estimates for general observations

I. Vajda, M. Janzura, 1997 .

Testing in stationary models based on divergences of observed and theoretical frequencies

Leandro Pardo, Igor Vajda, Domingo Morales, 1997, Kybernetika.

On convergence of information contained in quantized observations

Igor Vajda, I. Vajda, 2002, IEEE Trans. Inf. Theory.

Several applications of divergence criteria in continuous families

Igor Vajda, Michel Broniatowski, I. Vajda, 2009, Kybernetika.

On generalized entropies, Bayesian decisions and statistical diversity

Jana Zvárová, Igor Vajda, I. Vajda, 2007, Kybernetika.

Convergence of best phi-entropy estimates

Marc Teboulle, I. Vajda, M. Teboulle, 1993, IEEE Trans. Inf. Theory.

Core functions and core divergences of regular distributions

Igor Vajda, Zdenek Fabián, I. Vajda, 2003, Kybernetika.

Global information in statistical experiments and consistency of likelihood-based estimates and tests

Igor Vajda, I. Vajda, 1998, Kybernetika (Praha).

On Metric Divergences of Probability Measures

Igor Vajda, I. Vajda, 2009, Kybernetika.

Necessary and sufficient conditions for consistency of generalizedM-estimates

I. Vajda, F. Liese, 1995 .

Conditions equivalent to consistency of approximate MLE's for stochastic processes

I. Vajda, 1995 .

Asymptotically Sufficient Partitions and Quantizations

Igor Vajda, Domingo Morales, F. Liese, 2006, IEEE Transactions on Information Theory.

Alphabet-oriented and user-oriented source coding theories

Igor Vajda, I. Vajda, 1987, Kybernetika.

Generalization of discrimination-rate theorems of Chernoff and Stein

Igor Vajda, I. Vajda, 1990, Kybernetika.

On the amount of information contained in a sequence of independent observations

Igor Vajda, I. Vajda, 1970, Kybernetika.

Modified power divergence estimators in normal models - simulation and comparative study

Igor Vajda, Václav Kus, Iva Frýdlová, 2012, Kybernetika.

Parameter Estimation by Projecting on Structural Statistical Models

L. Györfi, I. Vajda, E. C. Meulen, 1994 .

New Topics in Robust Statistics with Applications

I. Vajda, Jan Ámos Víšek, J. Michalek, 1984 .

Abstraat: General statistical procedures robust in a broad or minimax sense are introduced and their sensitivity with respect to

I. Vajda, J. Michálek, 1984 .

A New General Approach to Minimum Distance Estimation

I. Vajda, 1983 .