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Dominique Picard

Dominique Picard

D-Index & Metrics

Mathematics

D-Index
36
Citations
10078
World Ranking
2576
National Ranking
151

Overview

Dominique Picard is affiliated with Université Paris Cité in France and has contributed to several fields, primarily within Computer Science and Engineering. Their research spans various subfields including Signal Processing, Control and Systems Engineering, Biomedical Engineering, Biophysics, and Economics and Econometrics.

The main topics addressed in Dominique Picard's work include:

  • Time Series Analysis and Forecasting
  • Fault Detection and Control Systems
  • Wireless Body Area Networks
  • Electromagnetic Fields and Biological Effects
  • Data Management and Algorithms
  • Complex Systems and Time Series Analysis
  • Mathematical Analysis and Transform Methods

They have published scientific articles in diverse venues, such as:

  • arXiv (Cornell University)
  • Bernoulli
  • Physical review. E
  • Electronic Journal of Statistics
  • International Journal of Approximate Reasoning

Recent notable papers include:

  • "Kernel and wavelet density estimators on manifolds and more general metric spaces," 2020, Bernoulli
  • "Uncovering differential equations from data with hidden variables," 2022, Physical review. E
  • "Clustering high dimensional meteorological scenarios: results and performance index," 2020, arXiv (Cornell University)
  • "Uncovering differential equations from data with hidden variables," 2020, arXiv (Cornell University)
  • "On change-point estimation under Sobolev sparsity," 2020, Electronic Journal of Statistics

Dominique Picard has collaborated repeatedly with several researchers, including:

  • Agustín Somacal
  • Leonardo Boechi
  • Matthieu Jonckheere
  • Vincent Lefieux
  • Ezequiel Smucler

In addition to academic papers, they have contributed to book publications released by various publishers:

  • Presses Universitaires De France, including "L'École de Palo Alto" (2020) and "Les conflits relationnels" (2020)
  • Dunod, with "Relations et communications interpersonnelles" (2020)
  • Retz eBooks, with a later edition of "L'école de Palo Alto" (2023)

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

  • Testing and Estimating Change-Points in Time Series

    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

  • Oracle inequalities for inverse problems

    L. Cavalier;G. K. Golubev;D. Picard;A. B. Tsybakov

  • 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

  • Off-line statistical analysis of change-point models using non parametric and likelihood methods

    Jean Deshayes;Dominique Picard

  • Adaptive confidence interval for pointwise curve estimation

    Dominique Picard;Karine Tribouley

  • Regression in random design and warped wavelets

    Gérard Kerkyacharian;Dominique Picard

  • Non-parametric estimation of the diffusion coefficient by wavelets methods

    V. Genon-Catalot;C. Laredo;D. Picard

  • Nonlinear estimation in anisotropic multi-index denoising

    Gérard Kerkyacharian;Oleg Lepski;Dominique Picard

  • Maximal Spaces with Given Rate of Convergence for Thresholding Algorithms

    Albert Cohen;Ronald DeVore;Gerard Kerkyacharian;Dominique Picard

Frequent Co-Authors

Gerard Kerkyacharian
Gerard Kerkyacharian 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
Alexandre B. Tsybakov
Alexandre B. Tsybakov École Nationale de la Statistique et de l'Administration Économique
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
Albert Cohen
Albert Cohen Google (United States)
Vladimir Koltchinskii
Vladimir Koltchinskii Georgia Institute of Technology

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