S. Reiter
Statistics and Probability · with Nguyen · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 11 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom S. Reiter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya M. Sobol
- Jing Yang
- Elijah Polak
- Carolina Massmann
- Francesca Campolongo
- Roberto Confalonieri
- Kalyanmoy Deb
- Hubert Holzmann
Papers from S. Reiter's perspective
Ordered by how strongly the researchers S. Reiter trusts endorse each paper. Same corpus, a different order for every researcher.
- An effective screening design for sensitivity analysis of large models (Environmental Modelling & Software)
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Sensitivity Estimates for Nonlinear Mathematical Models
- No free lunch theorems for optimization
- Genetic Algorithms in Search Optimization and Machine Learning
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
- Optimization: Algorithms and Consistent Approximations
- Linear Programming Under Uncertainty (Management Sciences)
- DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual
- Computer Methods in Applied Mechanics and Engineering
Their papers
- A review on simulation-based optimization methods applied to building performance analysis (2014) — 1,373 citations
- A performance comparison of sensitivity analysis methods for building energy models (2015) — 161 citations