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20172022
most citedLocal Central Limit Theorem for Multi-Group Curie-Weiss Models

6 citations · 10 across the 6 of their papers we have counts for

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math.PR2022

Proof Methods in Random Matrix Theory

Michael Fleermann, Werner Kirsch

In this survey article, we give an introduction to two methods of proof in random matrix theory: The method of moments and the Stieltjes transform method. We thoroughly develop the…

math.PR2022

The Central Limit Theorem for Weakly Dependent Random Variables by the Moment Method

Michael Fleermann, Werner Kirsch

In this paper, we derive a central limit theorem for collections of weakly correlated random variables indexed by discrete metric spaces, where the correlation decays in the distan…

math.PR2022★ 3 cited

Random Band and Block Matrices with Correlated Entries

Riccardo Catalano, Michael Fleermann, Werner Kirsch

In this paper, we derive limit laws for the empirical spectral distributions of random band and block matrices with correlated entries. In the first part of the paper, we study ban…

math.PR2020★ 1 cited

Interval Type Local Limit Theorems for Lattice Type Random Variables and Distributions

Michael Fleermann, Werner Kirsch, Gabor Toth

In this paper, we propose a new interpretation of local limit theorems for univariate and multivariate distributions on lattices. We show that - given a local limit theorem in the…

math.PR2020★ 6 cited

Local Central Limit Theorem for Multi-Group Curie-Weiss Models

Michael Fleermann, Werner Kirsch, Gabor Toth

We define a multi-group version of the mean-field spin model, also called Curie-Weiss model. It is known that, in the high temperature regime of this model, a central limit theorem…

math.PR2019

Local Semicircle Law for Curie-Weiss Type Ensembles

Michael Fleermann, Werner Kirsch, Thomas Kriecherbauer

We derive and compare various forms of local semicircle laws for random matrices with exchangeable entries which exhibit correlations that decay at a very slow rate. In fact, any $…

math.PR2017

The Almost Sure Semicircle Law for Random Band Matrices with Dependent Entries

Michael Fleermann, Werner Kirsch, Thomas Kriecherbauer

We analyze the empirical spectral distribution of random periodic band matrices with correlated entries. The correlation structure we study was first introduced in 2015 by Hochstät…