D. Bosch

Water Science and Technology · 2009–2017

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Bosch trusts overall

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

  1. Keith Beven
  2. Jing Yang
  3. K. C. Abbaspour
  4. Qingyun Duan
  5. Jasper A. Vrugt
  6. Adrian E. Raftery
  7. George A. Kuczera
  8. Yuqiong Liu
  9. John W. Nicklow
  10. Misgana K. Muleta

Papers from D. Bosch's perspective

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

  1. The future of distributed models: model calibration and uncertainty prediction.
  2. Effective and efficient global optimization for conceptual rainfall‐runoff models
  3. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
  4. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
  5. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
  6. A manifesto for the equifinality thesis
  7. Multi-model ensemble hydrologic prediction using Bayesian model averaging
  8. Hydrological modelling of the Chaohe Basin in China: Statistical model formulation and Bayesian inference
  9. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
  10. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

Their papers