Kyle A. Gallivan
Statistics and Probability · 2002–2012
A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 17 citations into it; #5,985 of 12,932 by trust here, #5,857 by citations
- Computational Mechanics — 14 citations into it
- Computational Theory and Mathematics — 14 citations into it; #2,115 of 12,182 by trust here, #3,562 by citations
- Environmental Engineering — 10 citations into it
- Statistical and Nonlinear Physics — 10 citations into it; #7,563 of 10,127 by trust here, #6,727 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Numerical Analysis — 9 citations into it; #3,153 of 3,586 by trust here, #2,644 by citations
- Applied Mathematics — 7 citations into it
Whom Kyle A. Gallivan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Younes Chahlaoui
- E.J. Candes
- Robert Tibshirani
- Stephen J. Wright
- Dongbin Xiu
- Athanasios C. Antoulas
- Gene H. Golub
- Alan Edelman
- Rabi N. Bhattacharya
- Fabio Nobile
Who trusts Kyle A. Gallivan overall
- Alessandro Astolfi
- Wouter M. Kouw
- Raghuraman Gopalan
- Timo Reis
- O. Curtef
- Bart Vandereycken
- Jerrad Hampton
- Liang Yan
- Ya-Xiang Yuan
- Oliver Sander
Papers from Kyle A. Gallivan's perspective
Ordered by how strongly the researchers Kyle A. Gallivan trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Atomic Decomposition by Basis Pursuit
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Stable recovery of sparse overcomplete representations in the presence of noise
- Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
- An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (SIAM Journal on Numerical Analysis)
- Finite elements for elliptic problems with stochastic coefficients
- Robust and optimal control
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
Their papers
- Trust-Region Methods on Riemannian Manifolds (2007) — 525 citations
- A compressed sensing approach for partial differential equations with random input data (2012) — 84 citations
- Model reduction of second order systems (2005) — 81 citations
- Sylvester equations and projection-based model reduction (2004) — 101 citations
- Model reduction and the solution of Sylvester equations (2006) — 56 citations
- Efficient algorithms for inferences on Grassmann manifolds (2004) — 133 citations
- The gSOAP Toolkit for Web Services and Peer-to-Peer Computing Networks (2002) — 321 citations