Hamid Bazargan
Statistics and Probability · 2015
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 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
- Ocean Engineering — 5 citations into it
Whom Hamid Bazargan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anthony Nouy
- Alireza Doostan
- Dongbin Xiu
- Ivo Babuska
- Joel A. Tropp
- Geir Evensen
- Albert Tarantola
- Andrew M. Stuart
- Raúl Tempone
- Dean S. Oliver
Who trusts Hamid Bazargan overall
Papers from Hamid Bazargan's perspective
Ordered by how strongly the researchers Hamid Bazargan trusts endorse each paper. Same corpus, a different order for every researcher.
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
- Convergence rates for sparse chaos approximations of elliptic problems with stochastic coefficients
- Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation
- An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (SIAM Journal on Numerical Analysis)
- Stochastic model reduction for chaos representations
- Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (SIAM Journal on Numerical Analysis)
- Inverse problem theory - and methods for model parameter estimation
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations (Journal of Computational Physics)