Michael S. Eldred

Statistics and Probability · with Swiler · 2001–2020

A researcher in the Science corpus: 12 papers; trusts 20 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 73 citations into it; #1,057 of 12,932 by trust here, #1,018 by citations
• Computational Theory and Mathematics — 43 citations into it; #2,449 of 12,182 by trust here, #1,437 by citations
• Numerical Analysis — 32 citations into it
• Atomic and Molecular Physics, and Optics — 18 citations into it
• Management Science and Operations Research — 18 citations into it; #2,605 of 11,946 by trust here, #1,440 by citations
• Environmental Engineering — 17 citations into it; #256 of 5,479 by trust here, #1,681 by citations
• Applied Mathematics — 14 citations into it
• Statistical and Nonlinear Physics — 13 citations into it; #7,749 of 10,127 by trust here, #3,869 by citations

Whom Michael S. Eldred trusts overall

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

1. Dongbin Xiu
2. Fabio Nobile
3. Donald R. Jones
4. Marc C. Kennedy
5. Thomas Gerstner
6. Raúl Tempone
7. Philip E. Gill
8. G. Em Karniadakis
9. Clayton G. Webster
10. Ivo Babuska

Who trusts Michael S. Eldred overall

1. Zhen Hu
2. Christopher J. Roy
3. Xuhui Meng
4. Roland Schöbi
5. Wim Bogaerts
6. M. Giselle Fernández-Godino
7. Xiaoping Du
8. Bruno Sudret
9. William Oberkampf
10. G. Em Karniadakis

Papers from Michael S. Eldred's perspective

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

1. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
2. Random number generation and Quasi-Monte Carlo methods
3. Inverse problems: A Bayesian perspective (Acta Numerica)
4. Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models
5. Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (Reliability Engineering & System Safety)
6. On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
7. Application Of Kriging Method To Structural Reliability Problems
8. Theory Of Optimal Experiments
9. Sequential Experiment Design for Contour Estimation From Complex Computer Codes
10. Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods

Their papers

• Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design (2009) — 380 citations
• OVERVIEW OF MODERN DESIGN OF EXPERIMENTS METHODS FOR COMPUTATIONAL SIMULATIONS (2003) — 493 citations
• Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008) — 1,133 citations
• Multifidelity Uncertainty Quantification Using Non-Intrusive Polynomial Chaos and Stochastic Collocation (2012) — 208 citations
• Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009) — 398 citations
• Evaluation of Non-Intrusive Approaches for Wiener-Askey Generalized Polynomial Chaos. (2008) — 206 citations
• Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 Theory Manual. (2020) — 492 citations
• Polynomial chaos expansions for dependent random variables (2019) — 95 citations
• Multi-Fidelity Uncertainty Quantification: Application to a Vertical Axis Wind Turbine Under an Extreme Gust (2014)
• Multimodal Reliability Assessment for Complex Engineering Applications using Efficient Global Optimization (2007) — 57 citations
• The promise and peril of uncertainty quantification using response surface approximations (2005) — 85 citations
• DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual (2001) — 581 citations