J. J. Yu

Stochastic environmental research and risk assessment (Print) · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom J. J. Yu trusts overall

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

  1. Paul D. Bates
  2. Andrea Saltelli

Papers from J. J. Yu's perspective

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

  1. Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE
  2. Sensitivity Analysis as an Ingredient of Modeling
  3. Planning Regional Water Resources System Using an Interval Fuzzy Bi-Level Programming Method
  4. Influence of uncertain boundary conditions and model structure on flood inundation predictions.
  5. 2D Monte Carlo versus 2D Fuzzy Monte Carlo health risk assessment
  6. The future of distributed models: model calibration and uncertainty prediction.
  7. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
  8. Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (Reliability Engineering & System Safety)
  9. Probabilistic sensitivity analysis of complex models: a Bayesian approach
  10. Uncertainty and Quality in Science for Policy

Their papers