Emmanuel Vazquez

Statistics and Probability · 2006–2011

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it; #3,684 of 12,932 by trust here, #3,038 by citations
• Computational Theory and Mathematics — 17 citations into it; #1,501 of 12,182 by trust here, #1,700 by citations
• Management Science and Operations Research — 15 citations into it; #2,491 of 11,946 by trust here, #2,402 by citations
• Artificial Intelligence — 13 citations into it; #12,361 of 35,345 by trust here, #21,316 by citations
• Mathematical Optimization — 9 citations into it

Whom Emmanuel Vazquez trusts overall

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

1. Donald R. Jones
2. Ilya S. Molchanov
3. William J. Welch
4. Michael A. Osborne
5. Anthony OʼHagan
6. Matthias Schonlau
7. Michael E. Hohn
8. William I. Notz
9. Jonas Mockus
10. Jun S. Liu

Who trusts Emmanuel Vazquez overall

1. Nando de Freitas
2. Bobak Shahriari
3. Hamidreza Hamdi
4. Ky Khac Vu
5. Ziyun Wang
6. Rémi Bardenet
7. Dani Yogatama
8. José Miguel Hernández-Lobato
9. Adam D. Bull
10. Philipp Hennig

Papers from Emmanuel Vazquez's perspective

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

1. Efficient Global Optimization of Expensive Black-Box Functions
2. A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise
3. Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization
4. Design and analysis of computer experiments
5. A statistical method for global optimization
6. A Radial Basis Function Method for Global Optimization (Journal of Global Optimization)
7. A Taxonomy of Global Optimization Methods Based on Response Surfaces
8. Interpolation of spatial data
9. Information Theory: 1948-1998 - Guest Editorial
10. A Framework for Validation of Computer Models (Technometrics)

Their papers

• Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion (2011) — 77 citations
• Convergence properties of the expected improvement algorithm with fixed mean and covariance functions (2007) — 252 citations
• An informational approach to the global optimization of expensive-to-evaluate functions (2006) — 359 citations
• Sequential design of computer experiments for the estimation of a probability of failure (2010) — 386 citations