What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Statistics
- Real number
Friedrich Götze spends much of his time researching Combinatorics, Mathematical analysis, Statistics, Random matrix and Central limit theorem.
Friedrich Götze combines subjects such as Positive-definite matrix, Probability distribution, Distribution and Quadratic form with his study of Combinatorics.
The Exponential function and Real line research Friedrich Götze does as part of his general Mathematical analysis study is frequently linked to other disciplines of science, such as Stein's method, therefore creating a link between diverse domains of science.
Many of his studies on Statistics involve topics that are commonly interrelated, such as Econometrics.
His Random matrix research integrates issues from Circular law, Random variable and Joint probability distribution.
Friedrich Götze interconnects Rate of convergence, Multivariate random variable and Normal distribution in the investigation of issues within Central limit theorem.
His most cited work include:
- Exponential Integrability and Transportation Cost Related to Logarithmic Sobolev Inequalities (518 citations)
- RESAMPLING FEWER THAN n OBSERVATIONS: GAINS, LOSSES, AND REMEDIES FOR LOSSES (299 citations)
- RESAMPLING FEWER THAN n OBSERVATIONS: GAINS, LOSSES, AND REMEDIES FOR LOSSES (299 citations)
What are the main themes of his work throughout his whole career to date?
Friedrich Götze focuses on Combinatorics, Random variable, Mathematical analysis, Random matrix and Pure mathematics.
His Combinatorics study combines topics from a wide range of disciplines, such as Discrete mathematics, Central limit theorem, Order and Distribution.
His Central limit theorem research includes themes of Asymptotic expansion and Normal distribution.
His work in Random variable tackles topics such as Triangular matrix which are related to areas like Symmetric matrix.
His Mathematical analysis study combines topics in areas such as Rate of convergence and Applied mathematics.
The concepts of his Random matrix study are interwoven with issues in Singular value, Matrix, Hermitian matrix and Circular law.
He most often published in these fields:
- Combinatorics (41.50%)
- Random variable (27.89%)
- Mathematical analysis (23.13%)
What were the highlights of his more recent work (between 2017-2021)?
- Random variable (27.89%)
- Combinatorics (41.50%)
- Pure mathematics (17.01%)
In recent papers he was focusing on the following fields of study:
His main research concerns Random variable, Combinatorics, Pure mathematics, Applied mathematics and Poisson distribution.
His studies deal with areas such as Matrix, Triangular matrix, Littlewood–Offord problem and Moment as well as Random variable.
Moment is a primary field of his research addressed under Statistics.
His research in Statistics focuses on subjects like Quadratic equation, which are connected to Distribution function.
The various areas that he examines in his Combinatorics study include Bounded function, Algebraic number, Order and Convex hull.
His work carried out in the field of Applied mathematics brings together such families of science as Logarithm, Concentration of measure and Order.
Between 2017 and 2021, his most popular works were:
- Higher order concentration for functions of weakly dependent random variables (17 citations)
- Rényi divergence and the central limit theorem (12 citations)
- Large ball probabilities, Gaussian comparison and anti-concentration (11 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Real number
- Statistics
Random variable, Combinatorics, Order, Pure mathematics and Concentration of measure are his primary areas of study.
His Random variable research is multidisciplinary, incorporating elements of Matrix and Triangular matrix.
His biological study spans a wide range of topics, including Type and Convex hull.
His work deals with themes such as Discrete mathematics, Normal approximation, Operator, Bounded function and Interpretation, which intersect with Order.
His Pure mathematics research is multidisciplinary, relying on both Distribution, Exponential function, Ising model and Inequality.
Within one scientific family, he focuses on topics pertaining to Order under Concentration of measure, and may sometimes address concerns connected to Applied mathematics, Cube and Mathematical statistics.
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