J. Baroth

Statistics and Probability · 2007–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 6 citations into it

Whom J. Baroth trusts overall

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

1. Dongbin Xiu
2. G. Em Karniadakis
3. Xiaoliang Wan
4. Alfio Maria Quarteroni
5. Jan S. Hesthaven

Papers from J. Baroth's perspective

Ordered by how strongly the researchers J. Baroth 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. An adaptive multi-element generalized polynomial chaos method for stochastic differential equations
3. A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (SIAM Review)
4. High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
5. Numerical Approximation of Partial Differential Equations
6. Modeling uncertainty in flow simulations via generalized polynomial chaos
7. Uncertainty propagation using Wiener-Haar expansions
8. Stochastic differential equations
9. Multi-resolution analysis of wiener-type uncertainty propagation schemes
10. Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos

Their papers

• Parametric analysis and optimization of T-shaped and conventional deep cement mixing column-supported embankments (2020) — 47 citations
• An efficient SFE method using Lagrange polynomials: Application to nonlinear mechanical problems with uncertain parameters (2007) — 59 citations