M. Christie

Statistics and Probability · 2001–2015

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 23 citations into it
• Environmental Engineering — 9 citations into it
• Civil and Structural Engineering — 7 citations into it
• Computational Mechanics — 6 citations into it
• Computational Theory and Mathematics — 6 citations into it; #1,529 of 12,182 by trust here, #4,365 by citations
• Ocean Engineering — 5 citations into it; #146 of 3,193 by trust here, #914 by citations

Whom M. Christie trusts overall

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

1. Anthony Nouy
2. Alireza Doostan
3. Dongbin Xiu
4. Ivo Babuska
5. Joel A. Tropp
6. Geir Evensen
7. Albert Tarantola
8. Andrew M. Stuart
9. Raúl Tempone
10. Dean S. Oliver

Who trusts M. Christie overall

1. Knut-Andreas Lie
2. Olav Møyner
3. Jan Dirk Jansen
4. M. Sbai
5. Louis J. Durlofsky
6. Jostein R. Natvig
7. Vegard Kippe
8. Ahmed H. Elsheikh
9. Tiangang Cui
10. Seong H. Lee

Papers from M. Christie's perspective

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

1. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
2. High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
3. Convergence rates for sparse chaos approximations of elliptic problems with stochastic coefficients
4. Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation
5. An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (SIAM Journal on Numerical Analysis)
6. Stochastic model reduction for chaos representations
7. Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (SIAM Journal on Numerical Analysis)
8. Inverse problem theory - and methods for model parameter estimation
9. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
10. A least-squares approximation of partial differential equations with high-dimensional random inputs

Their papers

• Tenth SPE Comparative Solution Project: a comparison of upscaling techniques (2001) — 1,096 citations
• Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion (2015) — 52 citations