Joseph F. G. Cobben
IEEE Transactions on Power Systems · 2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Joseph F. G. Cobben trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Joseph F. G. Cobben's perspective
Ordered by how strongly the researchers Joseph F. G. Cobben 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)
- Statistical and Computational Inverse Problems (Technometrics)
- Regression Shrinkage and Selection via the Lasso
- High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
- Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos
- An adaptive multi-element generalized polynomial chaos method for stochastic differential equations
- Stochastic processes and orthogonal polynomials
- Large sample properties of simulations using latin hypercube sampling
- Distilling Free-Form Natural Laws from Experimental Data
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Their papers
- Basis-Adaptive Sparse Polynomial Chaos Expansion for Probabilistic Power Flow (2017) — 110 citations