Gerard Kerkyacharian

Applied Mathematics · 1995–2012

A researcher in the Science corpus: 11 papers; trusts 30 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Applied Mathematics — 32 citations into it; #5,168 of 7,620 by trust here, #3,410 by citations
• Statistics and Probability — 26 citations into it; #10,258 of 12,932 by trust here, #11,487 by citations
• Mathematical Physics — 16 citations into it; #7,844 of 8,562 by trust here, #7,431 by citations
• Artificial Intelligence — 12 citations into it; #27,836 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 11 citations into it; #17,962 of 21,575 by trust here, #15,529 by citations
• Finance — 7 citations into it
• Signal Processing — 7 citations into it
• Computational Mechanics — 6 citations into it; #8,275 of 10,001 by trust here, #6,582 by citations

Whom Gerard Kerkyacharian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David L. Donoho
2. Pencho Petrushev
3. Véronique Delouille
4. Ronald A. DeVore
5. Iain M. Johnstone
6. C. Stone
7. Albert Cohen
8. Lucien Birgé
9. I. Castillo
10. El-Maati Ouhabaz

Who trusts Gerard Kerkyacharian overall

1. Iain M. Johnstone
2. Cristina Butucea
3. Lucien Birgé
4. Akshay Krishnamurthy
5. Dominique Picard
6. Patricia Reynaud-Bouret
7. Marc Hoffmann
8. Mina Aminghafari
9. Kirthevasan Kandasamy
10. Adam D. Bull

Papers from Gerard Kerkyacharian's perspective

Ordered by how strongly the researchers Gerard Kerkyacharian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Littlewood-Paley Theory and the Study of Function Spaces
2. A wavelet tour of signal processing
3. Optimal Global Rates of Convergence for Nonparametric Regression
4. Ten Lectures on Wavelets
5. A Distribution-Free Theory of Nonparametric Regression
6. Minimax estimation via wavelet shrinkage
7. Wavelets
8. Minimax Risk Over Hyperrectangles, and Implications
9. Constructive Approximation
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Thomas Bayes’ walk on manifolds (2012) — 53 citations
• Heat Kernel Generated Frames in the Setting of Dirichlet Spaces (2012) — 112 citations
• Spherical needlets for cosmic microwave background data analysis (2008) — 143 citations
• Asymptotics for spherical needlets (2006) — 135 citations
• Mathematical Methods for Supervised Learning (2005)
• Regression in random design and warped wavelets (2004) — 103 citations
• Minimax or maxisets (2002) — 57 citations
• Maximal Spaces with Given Rate of Convergence for Thresholding Algorithms (2001) — 90 citations
• Thresholding algorithms, maxisets and well-concentrated bases (2000) — 129 citations
• Estimating nonquadratic functionals of a density using Haar wavelets (1996)
• Wavelet Shrinkage: Asymptopia? (1995)