Moritz Otto

@math.au.dk

Mathematics
Aarhus University

EDUCATION

Technical University of Munich, Karlsruhe Institute of Technology

RESEARCH INTERESTS

stochastic geometry, extreme value theory, point processes

78

Scholar Citations

5

Scholar h-index

3

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Couplings and Poisson approximation for stabilizing functionals of determinantal point processes
    M Otto
    arXiv preprint arXiv:2402.08588 2024

  • Cumulant method for weighted random connection models
    N Heerten, C Hirsch, M Otto
    arXiv preprint arXiv:2311.00600 2023

  • Compound Poisson process approximation under -mixing and stabilization
    N Chenavier, M Otto
    arXiv preprint arXiv:2310.15009 2023

  • Normal approximation for Gibbs processes via disagreement couplings
    C Hirsch, M Otto, AM Svane
    arXiv preprint arXiv:2309.00394 2023

  • Large nearest neighbour balls in hyperbolic stochastic geometry
    M Otto, C Thle
    Extremes 26, 413-431 2023

  • Large deviations for hyperbolic -nearest neighbor balls
    C Hirsch, M Otto, T Owada, C Thle
    arXiv preprint arXiv:2304.08744 2023

  • Disagreement coupling of Gibbs processes with an application to Poisson approximation
    G Last, M Otto
    Annals of Applied Probability 33 (5), 4091-4126 2023

  • Extremal behavior of large cells in the Poisson hyperplane mosaic
    M Otto
    Electronic Journal of Probability 28, 1-29 2023

  • Limit laws for large th-nearest neighbor balls
    N Chenavier, N Henze, M Otto
    Journal of Applied Probability 59 (3), 880-894 2022

  • Poisson approximation of Poisson-driven point processes and extreme values in stochastic geometry
    M Otto
    arXiv preprint arXiv:2005.10116 2020

  • Tail dependence of recursive max-linear models with regularly varying noise variables
    N Gissibl, C Klppelberg, M Otto
    Econometrics and statistics 6, 149-167 2018

  • Extremes on Directed Acyclic Graphs
    M Otto
    2016

MOST CITED SCHOLAR PUBLICATIONS

  • Tail dependence of recursive max-linear models with regularly varying noise variables
    N Gissibl, C Klppelberg, M Otto
    Econometrics and statistics 6, 149-167 2018
    Citations: 30

  • Poisson approximation of Poisson-driven point processes and extreme values in stochastic geometry
    M Otto
    arXiv preprint arXiv:2005.10116 2020
    Citations: 13

  • Limit laws for large th-nearest neighbor balls
    N Chenavier, N Henze, M Otto
    Journal of Applied Probability 59 (3), 880-894 2022
    Citations: 12

  • Disagreement coupling of Gibbs processes with an application to Poisson approximation
    G Last, M Otto
    Annals of Applied Probability 33 (5), 4091-4126 2023
    Citations: 9

  • Large nearest neighbour balls in hyperbolic stochastic geometry
    M Otto, C Thle
    Extremes 26, 413-431 2023
    Citations: 6

  • Large deviations for hyperbolic -nearest neighbor balls
    C Hirsch, M Otto, T Owada, C Thle
    arXiv preprint arXiv:2304.08744 2023
    Citations: 2

  • Extremal behavior of large cells in the Poisson hyperplane mosaic
    M Otto
    Electronic Journal of Probability 28, 1-29 2023
    Citations: 2

  • Extremes on Directed Acyclic Graphs
    M Otto
    2016
    Citations: 2

  • Compound Poisson process approximation under -mixing and stabilization
    N Chenavier, M Otto
    arXiv preprint arXiv:2310.15009 2023
    Citations: 1

  • Normal approximation for Gibbs processes via disagreement couplings
    C Hirsch, M Otto, AM Svane
    arXiv preprint arXiv:2309.00394 2023
    Citations: 1