Tony Pourmohamad
Technometrics · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Whom Tony Pourmohamad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tony Pourmohamad overall
Papers from Tony Pourmohamad's perspective
Ordered by how strongly the researchers Tony Pourmohamad trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
- The Design and Analysis of Computer Experiments (Springer Series in Statistics)
- Global versus local search in constrained optimization of computer models
- Design and analysis of computer experiments
- Flexibility and efficiency enhancements for constrained global design optimization with kriging approximations.
- A surrogate-model-based method for constrained optimization
- Non-Stationary Spatial Modeling
- Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
- Interpolation of spatial data
- Diagnostics for Gaussian Process Emulators (Technometrics)
Their papers
- Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (2020) — 535 citations