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Gerard Kerkyacharian

Gerard Kerkyacharian

D-Index & Metrics

Mathematics

D-Index
36
Citations
9562
World Ranking
2580
National Ranking
152

Overview

Gerard Kerkyacharian is affiliated with Université Paris Cité in France. Their research spans multiple fields including mathematics, economics, econometrics, and finance, with a strong emphasis on specialized subfields such as mathematical physics, finance, geometry and topology, statistics and probability, and applied mathematics.

Their research topics largely focus on stochastic processes and financial applications, financial risk and volatility modeling, probability and statistical research, advanced mathematical theories, advanced Banach space theory, geometry and complex manifolds, and geometric analysis and curvature flows.

Kerkyacharian's recent publications include the following papers:

  • "Tightness and exponential tightness of Gaussian probabilities" (2020) published in ESAIM Probability and Statistics
  • "Intermediate spaces, Gaussian probabilities and exponential tightness" (2021) published in Annali di Matematica Pura ed Applicata (1923 -)
  • "Exchangeability and irreducible rotational invariance" (2023) published on arXiv (Cornell University)
  • "Exchangeability and irreducible rotational invariance" (2024) published in Proceedings of the American Mathematical Society

They have collaborated frequently with coauthors Domenico Marinucci and Stefano Trapani, each contributing to multiple works alongside them.

Kerkyacharian also has a book published by Springer Nature titled Probability, released in 2023.

The scientist's work has appeared in a range of academic venues including:

  • ESAIM Probability and Statistics
  • Annali di Matematica Pura ed Applicata (1923 -)
  • arXiv (Cornell University)
  • Proceedings of the American Mathematical Society

Best Publications

  • Wavelet Shrinkage: Asymptopia?

    David L. Donoho;Iain M. Johnstone;Gérard Kerkyacharian;Dominique Picard

  • Wavelets, Approximation, and Statistical Applications

    Wolfgang Härdle;Gerard Kerkyacharian;Alexander Tsybakov;Dominique Picard

  • Density estimation by wavelet thresholding

    David L. Donoho;Iain M. Johnstone;Gérard Kerkyacharian;Dominique Picard

  • Density estimation in Besov spaces

    G. Kerkyacharian;D. Picard

  • Wavelet deconvolution in a periodic setting

    Iain M. Johnstone;Gérard Kerkyacharian;Dominique Picard;Marc Raimondo

  • Quelques espaces fonctionnels associés à des processus gaussiens

    Z. Ciesielski;G. Kerkyacharian;B. Roynette

  • Spherical needlets for cosmic microwave background data analysis

    D. Marinucci;D. Pietrobon;A. Balbi;P. Baldi

  • Spherical Needlets for CMB Data Analysis

    D. Marinucci;D. Pietrobon;A. Balbi;P. Baldi

  • Block threshold rules for curve estimation using kernel and wavelet methods

    Peter Hall;Gérard Kerkyacharian;Dominique Picard

  • ON THE MINIMAX OPTIMALITY OF BLOCK THRESHOLDED WAVELET ESTIMATORS

    Peter Hall;G Kerkyacharian;D Picard

  • Thresholding algorithms, maxisets and well-concentrated bases

    Gérard Kerkyacharian;Gérard Kerkyacharian;Dominique Picard;Lucien Birgé;Peter Hall

  • Asymptotics for spherical needlets

    P. Baldi;G. Kerkyacharian;D. Marinucci;D. Picard

  • Density estimation by kernel and wavelets methods: Optimality of Besov spaces

    Gérard Kerkyacharian;Dominique Picard

  • Regression in random design and warped wavelets

    Gérard Kerkyacharian;Dominique Picard

  • Nonlinear estimation in anisotropic multi-index denoising

    Gérard Kerkyacharian;Oleg Lepski;Dominique Picard

  • Heat Kernel Generated Frames in the Setting of Dirichlet Spaces

    Thierry Coulhon;Gerard Kerkyacharian;Pencho Petrushev

  • Maximal Spaces with Given Rate of Convergence for Thresholding Algorithms

    Albert Cohen;Ronald DeVore;Gerard Kerkyacharian;Dominique Picard

  • Heat kernel based decomposition of spaces of distributions in the framework of Dirichlet spaces

    Gerard Kerkyacharian;Pencho Petrushev

  • Large deviations and the Strassen theorem in Hölder norm

    P. Baldi;G. Ben Arous;G. Kerkyacharian

  • Approximation Methods for Supervised Learning

    Ronald Devore;Gerard Kerkyacharian;Dominique Picard;Vladimir Temlyakov

  • Asymptotics for spherical needlets

    P. Baldi;G. Kerkyacharian;D. Marinucci;D. Picard

Frequent Co-Authors

Dominique Picard
Dominique Picard Université Paris Cité
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Domenico Marinucci
Domenico Marinucci University of Rome Tor Vergata
Iain M. Johnstone
Iain M. Johnstone Stanford University
Yuan Xu
Yuan Xu University of Oregon
David L. Donoho
David L. Donoho Stanford University
Ronald A. DeVore
Ronald A. DeVore Texas A&M University
Vladimir Temlyakov
Vladimir Temlyakov Lomonosov Moscow State University
Alexandre B. Tsybakov
Alexandre B. Tsybakov École Nationale de la Statistique et de l'Administration Économique
Thierry Coulhon
Thierry Coulhon PSL University

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