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Alen Alexanderian · Study

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Alen Alexanderian

16 works· latest 2021· 3 institutionscluster: provisionalORCID 0000-0002-6371-6618

h-index14

i1016

Citations894

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Most cited in this library

A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification2014 · 136 citations
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems2016 · 131 citations
Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review2021 · 85 citations
On Bayesian A- and D-Optimal Experimental Designs in Infinite Dimensions2015 · 76 citations
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations2017 · 69 citations

Works

16 shown

Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review

Inverse Problems·2021·1 author·Open access

85citations

Variance-based sensitivity analysis for time-dependent processes

Reliability Engineering & System Safety·2019·3 authors·Open access

67citations

Active subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty

Combustion and Flame·2019·4 authors·Open access

21citations

Derivative-Based Global Sensitivity Analysis for Models with High-Dimensional Inputs and Functional Outputs

SIAM Journal on Scientific Computing·2019·5 authors

13citations

Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems

Inverse Problems·2018·3 authors·Open access

59citations

Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems

SIAM Journal on Scientific Computing

·2018

·2 authors

·Open access

50citations

Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations

SIAM/ASA Journal on Uncertainty Quantification·2017·4 authors·Open access

69citations

Efficient Computation of Sobol' Indices for Stochastic Models

SIAM Journal on Scientific Computing·2017·3 authors·Open access

46citations

A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems

SIAM Journal on Scientific Computing·2016·4 authors·Open access

131citations

On Bayesian A- and D-Optimal Experimental Designs in Infinite Dimensions

Bayesian Analysis·2015·3 authors·Open access

76citations

A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification

SIAM Journal on Scientific Computing·2014·4 authors·Open access

136citations

Preconditioned Bayesian Regression for Stochastic Chemical Kinetics

Journal of Scientific Computing·2013·5 authors

18citations

On spectral methods for variance based sensitivity analysis

Probability Surveys·2013·1 author·Open access

13citations

Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach

Computational Geosciences·2012·7 authors

65citations

Simplified CSP analysis of a stiff stochastic ODE system

Computer Methods in Applied Mechanics and Engineering·2012·5 authors

14citations

Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection

Journal of Scientific Computing·2011·5 authors

31citations