◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

D. Picard

26 papers hereh-index 367.2k citations107 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7
  • last author17

Across the 24 of 26 papers where every author was matched, so the position is known.

fields
  • math.ST17
  • stat.AP3
  • astro-ph2
  • math.PR2
  • math.CA1
  • stat.ML1
same name
  • D. Picard — 4 papers, h 2
  • D. Picard — 1 paper, h 25
  • D. Picard — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052020
most citedSpherical Needlets for CMB Data Analysis

194 citations · 496 across the 24 of their papers we have counts for

collaborators
Showing 2012Show all

4 papers · 1 filter

math.ST2012

Anisotropic Denoising in Functional Deconvolution Model with Dimension-free Convergence Rates

Rida Benhaddou, Marianna Pensky, Dominique Picard

In the present paper we consider the problem of estimating a periodic (r+1)-dimensional function f based on observations from its noisy convolution. We construct a wavelet esti…

math.ST2012

Grouping Strategies and Thresholding for High Dimensional Linear Models

Mathilde Mougeot, Dominique Picard, Karine Tribouley

The estimation problem in a high regression model with structured sparsity is investigated. An algorithm using a two steps block thresholding procedure called GR-LOL is provided. C…

math.ST2012

Thomas Bayes' walk on manifolds

Ismael Castillo, Gerard Kerkyacharian, Dominique Picard

Convergence of the Bayes posterior measure is considered in canonical statistical settings where observations sit on a geometrical object such as a compact manifold, or more genera…

math.ST2012

Blockwise SVD with error in the operator and application to blind deconvolution

S. Delattre, M. Hoffmann, D. Picard +1

We consider linear inverse problems in a nonparametric statistical framework. Both the signal and the operator are unknown and subject to error measurements. We establish minimax r…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.