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- Evarist Giné

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
44
Citations
7,935
114
World Ranking
1086
National Ranking
511

- Statistics
- Mathematical analysis
- Random variable

Evarist Giné focuses on Combinatorics, Central limit theorem, Random variable, Law of large numbers and Empirical process. The Combinatorics study combines topics in areas such as Differentiable function, Calculus, Fourier integral operator and Measurable function. His Central limit theorem study frequently links to other fields, such as Limit.

His Random variable study combines topics in areas such as Bounded function and Mathematical analysis. Evarist Giné works mostly in the field of Law of large numbers, limiting it down to topics relating to Discrete mathematics and, in certain cases, Limit superior and limit inferior, Uniform boundedness and Pointwise. His studies deal with areas such as Inequality, Order and Exponential function as well as Empirical process.

- Some Limit Theorems for Empirical Processes (399 citations)
- Decoupling: From Dependence to Independence (342 citations)
- Bootstrapping General Empirical Measures (326 citations)

His primary scientific interests are in Combinatorics, Central limit theorem, Estimator, Applied mathematics and Mathematical analysis. His Combinatorics research incorporates themes from Probability theory, Random variable, Distribution, Measurable function and Sequence. As a member of one scientific family, he mostly works in the field of Random variable, focusing on Discrete mathematics and, on occasion, Compact space.

His Central limit theorem research includes elements of Limit, Banach space, Law of the iterated logarithm and Law of large numbers. His Estimator research is multidisciplinary, relying on both Rate of convergence, Uniform continuity and Calculus. His Mathematical analysis study incorporates themes from Convergence of random variables, Large deviations theory and Pure mathematics.

- Combinatorics (33.33%)
- Central limit theorem (30.83%)
- Estimator (22.50%)

- Estimator (22.50%)
- Kernel density estimation (13.33%)
- Combinatorics (33.33%)

His main research concerns Estimator, Kernel density estimation, Combinatorics, Applied mathematics and Central limit theorem. His Estimator research incorporates elements of Econometrics, Rate of convergence, Uniform continuity and Limit. His Kernel density estimation study integrates concerns from other disciplines, such as Discrete mathematics, Iterated logarithm, Bounded function, Mathematical analysis and Density estimation.

The study incorporates disciplines such as Probability distribution, t-statistic, Adaptive estimator and Probability theory in addition to Combinatorics. His study in Applied mathematics is interdisciplinary in nature, drawing from both Statistics, Mathematical optimization and Nonparametric regression. Evarist Giné combines subjects such as Logarithm, Probability density function and Banach space with his study of Central limit theorem.

- Mathematical foundations of infinite-dimensional statistical models (183 citations)
- Concentration inequalities and asymptotic results for ratio type empirical processes (117 citations)
- Empirical graph Laplacian approximation of Laplace–Beltrami operators: Large sample results (117 citations)

- Statistics
- Mathematical analysis
- Random variable

His scientific interests lie mostly in Applied mathematics, Estimator, Central limit theorem, Combinatorics and Mathematical analysis. While the research belongs to areas of Applied mathematics, Evarist Giné spends his time largely on the problem of Nonparametric regression, intersecting his research to questions surrounding Approximation theory, Statistical model and Minimax. His work deals with themes such as Limit and Calculus, which intersect with Estimator.

His work in Central limit theorem addresses subjects such as Probability theory, which are connected to disciplines such as Uniform limit theorem, Logarithm, Convergence of random variables, Empirical process and Banach space. Evarist Giné works mostly in the field of Combinatorics, limiting it down to topics relating to Probability distribution and, in certain cases, Empirical measure, Measurable function, Norm and Expected value, as a part of the same area of interest. Evarist Giné interconnects Quantile and Empirical distribution function in the investigation of issues within Mathematical analysis.

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.

Decoupling: From Dependence to Independence

Evarist Giné;De La Pena .G;Victor de la Peña.

**(1998)**

638 Citations

Some Limit Theorems for Empirical Processes

Evarist Gine;Joel Zinn.

Annals of Probability **(1984)**

558 Citations

Bootstrapping General Empirical Measures

Evarist Gine;Joel Zinn.

Annals of Probability **(1990)**

513 Citations

Mathematical foundations of infinite-dimensional statistical models

Evarist Giné;Richard Nickl.

**(2016)**

496 Citations

Limit Theorems for $U$-Processes

Miguel A. Arcones;Evarist Gine.

Annals of Probability **(1993)**

357 Citations

Rates of strong uniform consistency for multivariate kernel density estimators

Evarist Giné;Armelle Guillou.

Annales De L Institut Henri Poincare-probabilites Et Statistiques **(2002)**

338 Citations

When is the Student $t$-statistic asymptotically standard normal?

Evarist Giné;Friedrich Götze;David M. Mason.

Annals of Probability **(1997)**

305 Citations

High Dimensional Probability Ii

Evarist Giné;David M. Mason;Jon A. Wellner.

**(2012)**

231 Citations

On the Bootstrap of $U$ and $V$ Statistics

Miguel A. Arcones;Evarist Gine.

Annals of Statistics **(1992)**

204 Citations

Exponential and Moment Inequalities for U-Statistics

Evarist Giné;Rafał Latała;Joel Zinn.

arXiv: Probability **(2000)**

196 Citations

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