M. Rajabi

Statistics and Probability · with Ataie‐Ashtiani · 2015

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Rajabi trusts overall

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

  1. Dongbin Xiu
  2. Bruno Sudret
  3. Emanuele Borgonovo
  4. Hans Janssen
  5. G. Em Karniadakis
  6. Sergey Oladyshkin
  7. Keith Beven
  8. Heng Li
  9. Yuqiong Liu
  10. Sanghoon Lee

Papers from M. Rajabi's perspective

Ordered by how strongly the researchers M. Rajabi 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. Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
  3. High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
  4. Modeling uncertainty in flow simulations via generalized polynomial chaos
  5. Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods
  6. A new stochastic approach to transient heat conduction modeling with uncertainty
  7. The future of distributed models: model calibration and uncertainty prediction.
  8. Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (Reliability Engineering & System Safety)
  9. Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (Reliability Engineering & System Safety)
  10. Use of global sensitivity analysis and polynomial chaos expansion for interpretation of nonreactive transport experiments in laboratory‐scale porous media

Their papers