Nataliya Le Vine
Water Science and Technology · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 15 citations into it
- Global and Planetary Change — 14 citations into it
- Environmental Engineering — 8 citations into it
Whom Nataliya Le Vine trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hoshin V. Gupta
- Hubert W. Lilliefors
- Leo Breiman
- Thorsten Wagener
- Dmitri Kavetski
- N. Bulygina
- DJ Booker
- Arnaud Doucet
- M. Clark
- Trevor J. Hastie
Who trusts Nataliya Le Vine overall
Papers from Nataliya Le Vine's perspective
Ordered by how strongly the researchers Nataliya Le Vine trusts endorse each paper. Same corpus, a different order for every researcher.
- Reconciling theory with observations: elements of a diagnostic approach to model evaluation
- Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors
- On sequential Monte Carlo sampling methods for Bayesian filtering
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Towards the characterization of streamflow simulation uncertainty through multimodel ensembles
- Uniqueness of place and process representations in hydrological modelling
- Pursuing the method of multiple working hypotheses for hydrological modeling
- Correcting the mathematical structure of a hydrological model via Bayesian data assimilation
- A framework for development and application of hydrological models (Hydrology and Earth System Sciences)
- A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors