Aizhong Ye

Statistics and Probability · 2013–2015

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aizhong Ye trusts overall

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

  1. Qingyun Duan
  2. Soroosh Sorooshian
  3. Ilya M. Sobol
  4. Davood Shahsavani
  5. Andrea Saltelli
  6. Donald R. Jones
  7. Vladimir Naumovich Vapni
  8. Anthony OʼHagan
  9. Vladimir Naumovich Vapnik
  10. Bruce E. Stuckman

Papers from Aizhong Ye's perspective

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

  1. Effective and efficient global optimization for conceptual rainfall‐runoff models
  2. Making best use of model evaluations to compute sensitivity indices
  3. A Taxonomy of Global Optimization Methods Based on Response Surfaces
  4. The future of distributed models: model calibration and uncertainty prediction.
  5. Efficient Global Optimization of Expensive Black-Box Functions
  6. Design and analysis of computer experiments
  7. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  8. An effective screening design for sensitivity analysis of large models (Environmental Modelling & Software)
  9. Multi-objective global optimization for hydrologic models
  10. Random number generation and Quasi-Monte Carlo methods

Their papers