Mario Alleva

2001

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Mario Alleva's perspective

Ordered by how strongly the researchers Mario Alleva trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
2. Efficient Global Optimization of Expensive Black-Box Functions
3. Practical optimization
4. On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
5. Bayesian calibration of computer models
6. Probability, Reliability and Statistical Methods in Engineering Design
7. Best Arm Identification in Multi-Armed Bandits
8. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
9. Bayesian learning for neural networks
10. Bayesian Treed Gaussian Process Models With an Application to Computer Modeling

Their papers

• DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual (2001) — 581 citations