J. J. Vélez

2007

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom J. J. Vélez trusts overall

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

  1. Qingyun Duan
  2. Soroosh Sorooshian
  3. Henrik Madsen

Papers from J. J. Vélez's perspective

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

  1. Effective and efficient global optimization for conceptual rainfall‐runoff models
  2. Multi-objective global optimization for hydrologic models
  3. Optimal use of the SCE-UA global optimization method for calibrating watershed models
  4. Automatic Calibration of Conceptual Rainfall-Runoff Models: Optimization Algorithms, Catchment Conditions, and Model Structure
  5. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
  6. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives.
  7. The future of distributed models: model calibration and uncertainty prediction.
  8. Inference from Iterative Simulation Using Multiple Sequences
  9. Bayesian recursive parameter estimation for hydrologic models
  10. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter

Their papers