David McInerney

Global and Planetary Change · with Kavetski · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David McInerney trusts overall

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

  1. Richard S. J. Tol
  2. Dmitri Kavetski
  3. David Popp
  4. Quan J. Wang
  5. Keith Beven
  6. Klaus Keller
  7. Mark A. Thyer
  8. Pavlo A. Krokhmal
  9. Tilmann Gneiting
  10. M. Clark

Papers from David McInerney's perspective

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

  1. Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
  2. A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
  3. An Analysis of Transformations
  4. Probabilistic forecasts, calibration and sharpness
  5. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
  6. The future of distributed models: model calibration and uncertainty prediction.
  7. A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall‐runoff modeling
  8. Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors
  9. No free lunch theorems for optimization
  10. Credit risk optimization with Conditional Value-at-Risk criterion (Mathematical programming)

Their papers