Dominique Picard | Academic Influence

Dominique Picard's AcademicInfluence.com Rankings

Dominique Picard

Mathematics

#5776

World Rank

#8101

Historical Rank

Measure Theory

#3187

World Rank

#3773

Historical Rank

mathematics Degrees

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Mathematics

Dominique Picard's Degrees

PhD Mathematics Paris-Saclay University

Why Is Dominique Picard Influential?

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According to Wikipedia, Dominique Brigitte Picard is a French mathematician who works as a professor in the Laboratoire de Probabilités et Modèles Aléatoires of Paris Diderot University. Her research concerns the statistical applications of wavelets.

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Dominique Picard's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Wavelet Shrinkage: Asymptopia? (1995) (1705)
Density estimation by wavelet thresholding (1996) (854)
Wavelets, approximation, and statistical applications (1998) (460)
Testing and estimating change-points in time series (1985) (358)
Density estimation in Besov spaces (1992) (227)
Oracle inequalities for inverse problems (2002) (189)
Wavelet deconvolution in a periodic setting (2004) (187)
Block threshold rules for curve estimation using kernel and wavelet methods (1998) (157)
ON THE MINIMAX OPTIMALITY OF BLOCK THRESHOLDED WAVELET ESTIMATORS (1999) (135)
Spherical needlets for cosmic microwave background data analysis (2008) (134)
Asymptotics for spherical needlets (2006) (128)
Thresholding algorithms, maxisets and well-concentrated bases (2000) (127)
Thresholding algorithms, maxisets and well-concentrated bases (2000) (127)
Density estimation by kernel and wavelets methods: Optimality of Besov spaces (1993) (116)
Adaptive confidence interval for pointwise curve estimation (2000) (110)
Regression in random design and warped wavelets (2004) (105)
Nonlinear estimation in anisotropic multi-index denoising (2001) (105)
Off-line statistical analysis of change-point models using non parametric and likelihood methods (1985) (99)
Non-parametric estimation of the diffusion coefficient by wavelets methods (1992) (93)
Maximal Spaces with Given Rate of Convergence for Thresholding Algorithms (2001) (91)
Spherical Needlets for CMB Data Analysis (2007) (80)
Approximation Methods for Supervised Learning (2006) (79)
Adaptive density estimation for directional data using needlets (2008) (74)
Capturing Ridge Functions in High Dimensions from Point Queries (2012) (71)
Subsampling needlet coefficients on the sphere (2007) (60)
Numerical performance of block thresholded wavelet estimators (1997) (58)
Universal Near Minimaxity of Wavelet Shrinkage (1997) (56)
Minimax or maxisets (2002) (56)
Estimating nonquadratic functionals of a density using Haar wavelets (1996) (54)
Adaptive Density Estimation (1996) (53)
Wavelets and Approximation (1998) (45)
L p adaptive density estimation (1996) (43)
Entropy, Universal Coding, Approximation, and Bases Properties (2003) (39)
Thomas Bayes’ walk on manifolds (2012) (37)
Concentration inequalities and confidence bands for needlet density estimators on compact homogeneous manifolds (2011) (36)
Non Linear Estimation in Anisotropic Multiindex Denoising (1999) (35)
Spin Needlets for Cosmic Microwave Background Polarization Data Analysis (2008) (35)
Mathematical Methods for Supervised Learning (2005) (32)
Localized spherical deconvolution (2009) (31)
Nonlinear Estimation in Anisotropic Multi-Index Denoising. Sparse Case (2008) (30)
ADAPTIVE BOXCAR DECONVOLUTION ON FULL LEBESGUE MEASURE SETS (2007) (27)
Needlet algorithms for estimation in inverse problems (2007) (26)
Decomposition of Triebel-Lizorkin and Besov spaces in the context of Laguerre expansions (2008) (24)
High frequency asymptotics for wavelet-based tests for Gaussianity and isotropy on the torus (2006) (23)
Inversion of noisy Radon transform by SVD based needlets (2008) (22)
Statistical learning for wind power: A modeling and stability study towards forecasting (2016) (22)
Some inequalities for the tensor product of greedy basis and weight-greedy bases (2006) (21)
Learning out of leaders (2010) (20)
Dicussion on the meeting on ‘Statistical approaches to inverse problems’ (2004) (18)
Regularity of Gaussian Processes on Dirichlet Spaces (2015) (18)
Large variance Gaussian priors in Bayesian nonparametric estimation: a maxiset approach (2006) (16)
Anisotropic de-noising in functional deconvolution model with dimension-free convergence rates (2012) (14)
Blockwise SVD with error in the operator and application to blind deconvolution (2012) (14)
Kernel and wavelet density estimators on manifolds and more general metric spaces (2018) (13)
Testing the isotropy of high energy cosmic rays using spherical needlets (2011) (13)
Nonlinear Approximation and Muckenhoupt Weights (2006) (12)
TESTING AND ESTIMATING CHANGE-POINTS (1985) (12)
Tests of Disorder of Regression: Asymptotic Comparison (1982) (12)
A note on the wavelet oracle (1999) (10)
Thresholding in Learning Theory (2005) (9)
Localized deconvolution on the sphere (2009) (8)
Uncovering differential equations from data with hidden variables (2020) (8)
Nonlinear estimation in anisotropic multiindex denoising. Sparse case@@@Nonlinear estimation in anisotropic multiindex denoising. Sparse case (2007) (6)
New generation wavelets associated with statistical problems (2008) (6)
Maxiset comparisons of procedures, application to choosing priors in a Bayesian nonparametric setting (2004) (5)
Replicant compression coding in Besov spaces (2003) (5)
Estimation in inverse problems and second-generation wavelets (2006) (5)
Radon needlet thresholding (2009) (5)
Statistical morphisms and related invariance properties (1992) (4)
LOL selection in high dimension (2014) (4)
Grouping Strategies and Thresholding for High Dimensional Linear Models (2012) (4)
DENSITY ESTIMATION BY WAVELET THRESHOLDING 1 (4)
Convergence rates for smooth k-means change-point detection (2018) (3)
Optimal Exponential Bounds on the Accuracy of Classification (2014) (3)
Forecasting Intra Day Load Curves Using Sparse Functional Regression (2015) (3)
Concentration inequalities and confidence bands for needlet density estimators on compact homogeneous manifolds (2011) (2)
Wavelet thresholding and adaptation (1998) (2)
Evolutionary Pareto distributions (2002) (2)
NEED-VD: a second-generation wavelet algorithm for estimation in inverse problems (2006) (2)
Real-time wind power forecast (2016) (2)
Learning Out of Leaders: Regression for high dimension (2012) (2)
New generation wavelets associated with statistical problems (The 8th Workshop on Stochastic Numerics) (2009) (2)
A new selection method for high-dimensionial instrumental setting: application to the Growth Rate convergence hypothesis (2011) (2)
Sparse Approximation and Fit of Intraday Load Curves in a High Dimensional Framework (2013) (1)
Parameter Estimation when Various Models are Available (1992) (1)
Statistical estimation using wavelets (1998) (1)
Homogeneous Climate Regions Using Learning Algorithms (2017) (1)
On change-point estimation under Sobolev sparsity (2020) (0)
Compactly supported wavelets (1998) (0)
Clustering high dimensional meteorological scenarios: results and performance index (2020) (0)
Universal Near Minimaxity of (1997) (0)
Computational aspects and statistical software implementations (1998) (0)
Conflict and Relationship (2015) (0)
Subsampling needlet coefﬁcients on the sphere (2009) (0)
Le Mental Research Institute (MRI) (2013) (0)
Wavelets and Besov Spaces (1998) (0)
Texture boundary positioning (1988) (0)
Basic relations of wavelet theory (1998) (0)
Construction of wavelet bases (1998) (0)
The idea of multiresolution analysis (1998) (0)
1 Universal Near Minimaxity of Wavelet Shrinkage (1999) (0)
Ju n 20 06 ASYMPTOTICS FOR SPHERICAL NEEDLETS (2009) (0)
Regularity of Gaussian Processes on Dirichlet Spaces (2018) (0)
The Haar basis wavelet system (1998) (0)
Some facts from Fourier analysis (1998) (0)
Erving Goffman (1922-1982) (2015) (0)
Grouping strategies and thresholding for high dimensional linear models rejoinder (2013) (0)
CONVERGENCE PROPERTIES OF WAVELET ESTIMATORS WITH MULTIPLE SAMPLING RATES (2004) (0)
Search for Identity and Interpersonal Conflicts (2008) (0)
Capturing Ridge Functions in High Dimensions from Point Queries (2011) (0)
Thomas Bayes’ walk on manifolds (2013) (0)
Draft : 8 November 951 Universal Near Minimaxity ofWavelet (2007) (0)

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Other Resources About Dominique Picard

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What Schools Are Affiliated With Dominique Picard?

Dominique Picard is affiliated with the following schools:

Paris-Saclay University