Akil C. Narayan
Statistics and Probability · 2014–2019
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 29 citations into it; #8,591 of 12,932 by trust here, #9,714 by citations
- Computational Theory and Mathematics — 17 citations into it; #7,918 of 12,182 by trust here, #9,804 by citations
- Environmental Engineering — 11 citations into it
- Computational Mechanics — 6 citations into it
- Numerical Analysis — 6 citations into it
- Statistical and Nonlinear Physics — 6 citations into it; #6,211 of 10,127 by trust here, #8,564 by citations
Whom Akil C. Narayan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dongbin Xiu
- Frédéric Hecht
- Deng Huang
- T. Robinson
- Michael S. Eldred
- Fabio Nobile
- Ivan V. Oseledets
- Alireza Doostan
- Theodore T. Allen
- Michael S. Eldred
Who trusts Akil C. Narayan overall
Papers from Akil C. Narayan's perspective
Ordered by how strongly the researchers Akil C. Narayan trusts endorse each paper. Same corpus, a different order for every researcher.
- An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (SIAM Journal on Numerical Analysis)
- 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)
- Inverse problems: A Bayesian perspective (Acta Numerica)
- Greedy Algorithms for Reduced Bases in Banach Spaces (Constructive approximation)
- High dimensional polynomial interpolation on sparse grids (Advances in Computational Mathematics)
- Convergence Rates for Greedy Algorithms in Reduced Basis Methods (SIAM Journal on Mathematical Analysis)
- Surrogate-Based Optimization Using Multifidelity Models with Variable Parameterization and Corrected Space Mapping
- Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
- A Stochastic Collocation Algorithm with Multifidelity Models
Their papers
- A Stochastic Collocation Algorithm with Multifidelity Models (2014) — 148 citations
- Polynomial chaos expansions for dependent random variables (2019) — 95 citations
- Computational Aspects of Stochastic Collocation with Multifidelity Models (2014) — 91 citations