Alireza Doostan

Statistics and Probability · 2007–2017

A researcher in the Science corpus: 10 papers; trusts 107 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 138 citations into it; #1,185 of 12,932 by trust here, #1,662 by citations
• Environmental Engineering — 61 citations into it; #779 of 5,479 by trust here, #2,178 by citations
• Computational Mechanics — 52 citations into it; #2,795 of 10,001 by trust here, #4,749 by citations
• Computational Theory and Mathematics — 51 citations into it; #6,676 of 12,182 by trust here, #7,851 by citations
• Civil and Structural Engineering — 50 citations into it; #456 of 6,160 by trust here, #1,800 by citations
• Statistical and Nonlinear Physics — 41 citations into it; #2,600 of 10,127 by trust here, #4,137 by citations
• Mechanics of Materials — 17 citations into it
• Numerical Analysis — 15 citations into it

Whom Alireza Doostan trusts overall

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

1. Dongbin Xiu
2. Gregory Beylkin
3. Anthony Nouy
4. Ivo Babuska
5. David L. Donoho
6. O. L. Le Maître
7. Lionel Mathelin
8. G. Em Karniadakis
9. Fabio Nobile
10. E.J. Candes

Who trusts Alireza Doostan overall

1. Anthony Nouy
2. Hamid Bazargan
3. Albert Cohen
4. Ahmed H. Elsheikh
5. Mohammad Hadigol
6. Jerrad Hampton
7. Gerhart I. Schuëller
8. M. Christie
9. Ronald A. DeVore
10. Houman Owhadi

Papers from Alireza Doostan's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
3. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
4. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
7. Atomic Decomposition by Basis Pursuit
8. Multi-resolution analysis of wiener-type uncertainty propagation schemes
9. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
10. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

Their papers

• Stochastic model reduction for chaos representations (2007) — 209 citations
• Efficient solution of stochastic systems: Application to the embankment dam problem (2007) — 56 citations
• A least-squares approximation of partial differential equations with high-dimensional random inputs (2009) — 158 citations
• Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression (2014) — 158 citations
• A non-adapted sparse approximation of PDEs with stochastic inputs (2010) — 465 citations
• Non-intrusive low-rank separated approximation of high-dimensional stochastic models (2012) — 103 citations
• Nonlinear Propagation of Orbit Uncertainty Using Non-Intrusive Polynomial Chaos (2013) — 193 citations
• Least squares polynomial chaos expansion: A review of sampling strategies (2017) — 159 citations
• Stochastic identification of composite material properties from limited experimental databases, Part II: Uncertainty modelling (2012) — 60 citations
• A probabilistic construction of model validation (2008) — 75 citations