Theofanis Sapatinas

Statistics and Probability · 2000–2016

A researcher in the Science corpus: 10 papers; trusts 52 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #3,415 of 12,932 by trust here, #5,294 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #4,189 of 21,575 by trust here, #9,435 by citations
• Finance — 13 citations into it; #4,639 of 10,518 by trust here, #5,728 by citations
• Economics and Econometrics — 11 citations into it; #10,032 of 23,481 by trust here, #14,051 by citations
• Signal Processing — 10 citations into it; #4,082 of 7,572 by trust here, #5,086 by citations
• Artificial Intelligence — 8 citations into it; #4,818 of 35,345 by trust here, #15,542 by citations
• Analytical Chemistry — 6 citations into it; #102 of 1,254 by trust here, #532 by citations
• Evaluation & Benchmarks — 5 citations into it

Whom Theofanis Sapatinas trusts overall

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

1. Stéphane Mallat
2. David L. Donoho
3. Ingrid Daubechies
4. Iain M. Johnstone
5. Jianqing Fan
6. Felix Abramovich
7. Bernard Walter Silverman
8. David Kraus
9. Tommaso Cai
10. Victor M. Panaretos

Who trusts Theofanis Sapatinas overall

1. Yves Grandvalet Yoshua
2. Bilwaj Gaonkar
3. Mahmoud Assran
4. Haoyuan Hong
5. Mehrdad Daviran
6. Piotr Kokoszka
7. Anestis Antoniadis
8. Xianyang Zhang
9. André Mas
10. David J. Olive

Papers from Theofanis Sapatinas's perspective

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

1. Spline Models for Observational Data
2. A wavelet tour of signal processing
3. Controlling the false discovery rate: a practical and powerful approach to multiple testing
4. Ideal spatial adaptation by wavelet shrinkage
5. Regression Shrinkage and Selection via the Lasso
6. Ten Lectures on Wavelets
7. Minimax estimation via wavelet shrinkage
8. Nonparametric regression and generalized linear models
9. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Empirical Bayes approach to block wavelet function estimation (2002) — 62 citations
• Normalized least-squares estimation in time-varying ARCH models (2008) — 73 citations
• Wavelet methods for continuous-time prediction using Hilbert-valued autoregressive processes (2003) — 116 citations
• A Haar-Fisz technique for locally stationary volatility estimation (2006) — 83 citations
• Bootstrap-based testing of equality of mean functions or equality of covariance operators for functional data (2016) — 60 citations
• Statistics for high-dimensional data (2012) — 109 citations
• Functional deconvolution in a periodic setting: Uniform case (2007) — 51 citations
• Discriminant Analysis and Statistical Pattern Recognition (2005) — 587 citations
• Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study (2001) — 394 citations
• Wavelet Analysis and its Statistical Applications (2000) — 272 citations