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- László Györfi

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
30
Citations
11,725
113
World Ranking
2224
National Ranking
13

- Statistics
- Mathematical analysis
- Random variable

László Györfi focuses on Statistics, Nonparametric statistics, Applied mathematics, Econometrics and Estimator. László Györfi has researched Statistics in several fields, including Zero and Distribution. His Econometrics study integrates concerns from other disciplines, such as Ergodic theory and Stochastic process.

His Strong consistency study incorporates themes from Cross-validation, Regression analysis, Nonparametric regression, Generalized least squares and Non-linear least squares. His research in Entropy intersects with topics in Parametric statistics, Artificial neural network, Probabilistic logic, Totally bounded space and Feature extraction. His studies deal with areas such as Bayes' theorem and Artificial intelligence as well as Parametric statistics.

- A Probabilistic Theory of Pattern Recognition (2543 citations)
- A distribution-free theory of nonparametric regression (1253 citations)
- Nonparametric density estimation : the L[1] view (744 citations)

His primary scientific interests are in Statistics, Applied mathematics, Combinatorics, Nonparametric statistics and Ergodic theory. His is doing research in Nonparametric regression, Regression analysis, Consistency, Strong consistency and Regression function, both of which are found in Statistics. László Györfi has included themes like Polynomial regression, Kernel density estimation, Bounded function, Asymptotic distribution and Exponential function in his Applied mathematics study.

His Kernel density estimation research incorporates elements of Density estimation, Multivariate kernel density estimation and Kernel. Many of his research projects under Combinatorics are closely connected to St petersburg with St petersburg, tying the diverse disciplines of science together. His Nonparametric statistics study combines topics in areas such as Machine learning, Sequence prediction and Differential entropy.

- Statistics (32.07%)
- Applied mathematics (20.65%)
- Combinatorics (18.48%)

- Combinatorics (18.48%)
- Limit (4.89%)
- Applied mathematics (20.65%)

László Györfi spends much of his time researching Combinatorics, Limit, Applied mathematics, Statistics and Limit distribution. His work deals with themes such as Distribution, k-nearest neighbors algorithm, Probability measure, Rate of convergence and Upper and lower bounds, which intersect with Combinatorics. The various areas that László Györfi examines in his k-nearest neighbors algorithm study include Smoothness, Probability of error and Classification rule.

László Györfi interconnects Value, Central limit theorem, Delta method and Kernel in the investigation of issues within Applied mathematics. His Value research includes themes of Ergodic theory, Ergodic process and Conditional expectation. All of his Statistics and Polynomial regression, Nonparametric regression, Strong consistency, Nonparametric statistics and Mean integrated squared error investigations are sub-components of the entire Statistics study.

- On the measure of Voronoi cells (14 citations)
- Tail probabilities of St. Petersburg sums, trimmed sums, and their limit (10 citations)
- Rate of Convergence of $k$-Nearest-Neighbor Classification Rule (7 citations)

- Statistics
- Random variable
- Mathematical analysis

His primary areas of study are Combinatorics, Limit, Applied mathematics, Rate of convergence and St petersburg. His study focuses on the intersection of Combinatorics and fields such as Probability measure with connections in the field of Absolute continuity and Poisson limit theorem. His Limit research is multidisciplinary, incorporating elements of Representation and Pure mathematics.

His Rate of convergence research incorporates elements of Probability of error, Stochastic geometry and Partition. The Probability of error study combines topics in areas such as Classification rule and k-nearest neighbors algorithm. His Kernel study is concerned with the field of Statistics as a whole.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

A Probabilistic Theory of Pattern Recognition

Luc Devroye;László Györfi;Gábor Lugosi.

**(1996)**

4660 Citations

A Distribution-Free Theory of Nonparametric Regression

László Györfi.

**(2013)**

1980 Citations

Nonparametric density estimation : the L[1] view

Luc Devroye;László Györfi.

Journal of the American Statistical Association **(1987)**

1160 Citations

Nonparametric entropy estimation. An overview

J. Beirlant;EJ Dudewicz;László Györfi;István Dénes.

International Journal of Mathematical and Statistical Sciences **(1997)**

806 Citations

On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates

Luc Devroye;Laszlo Gyorfi;Adam Krzyzak;Gabor Lugosi.

Annals of Statistics **(1994)**

278 Citations

Constructions of binary constant-weight cyclic codes and cyclically permutable codes

Nguyen Q. A;L. Gyorfi;J.L. Massey.

IEEE Transactions on Information Theory **(1992)**

226 Citations

Distribution estimation consistent in total variation and in two types of information divergence

A.R. Barron;L. Gyorfi;E.C. van der Meulen.

IEEE Transactions on Information Theory **(1992)**

145 Citations

Consistent Nonparametric Tests of Independence

Arthur Gretton;Arthur Gretton;László Györfi.

Journal of Machine Learning Research **(2010)**

134 Citations

NONPARAMETRIC KERNEL-BASED SEQUENTIAL INVESTMENT STRATEGIES

László Györfi;Gábor Lugosi;Frederic Udina.

Mathematical Finance **(2006)**

132 Citations

Density-free convergence properties of various estimators of entropy

László Györfi;Edward C. van der Meulen.

Computational Statistics & Data Analysis **(1987)**

98 Citations

Pompeu Fabra University

McGill University

Concordia University

KU Leuven

University of California, San Diego

University College London

University of Leoben

Swansea University

Pompeu Fabra University

Budapest University of Technology and Economics

École Nationale de la Statistique et de l'Administration Économique

Publications: 25

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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