Tyler Jon Smith

Water Science and Technology · 2010

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

Subfields

Whom Tyler Jon Smith trusts overall

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

  1. Keith Beven
  2. Jasper A. Vrugt
  3. B. Schaefli
  4. A. Binley
  5. Dmitri Kavetski
  6. Ezio Todini
  7. C. T. ter Braak
  8. Hoshin V. Gupta
  9. D. Talamba
  10. Qingyun Duan

Who trusts Tyler Jon Smith overall

  1. Jasper A. Vrugt
  2. Mojtaba Sadegh
  3. Guannan Zhang

Papers from Tyler Jon Smith's perspective

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

  1. The future of distributed models: model calibration and uncertainty prediction.
  2. A manifesto for the equifinality thesis
  3. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
  4. A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
  5. Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
  6. Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
  7. Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model (Journal of Hydrology)
  8. Bayesian analysis of input uncertainty in hydrological modeling: 2. Application
  9. Quantifying hydrological modeling errors through a mixture of normal distributions
  10. Zero-Inflated Data

Their papers