H. Dai
Environmental Engineering · with Ye · 2015
A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 19 citations into it
- Statistics and Probability — 15 citations into it
- Water Science and Technology — 15 citations into it
- Civil and Structural Engineering — 9 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Global and Planetary Change — 7 citations into it
- Ocean Engineering — 5 citations into it
Whom H. Dai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dmitri Kavetski
- Ming Ye
- Denise Draper
- Jing Yang
- Jasper A. Vrugt
- Jennifer A. Hoeting
- Keith Beven
- Shlomo P. Neuman
- Hoshin V. Gupta
- Dongbin Xiu
Papers from H. Dai's perspective
Ordered by how strongly the researchers H. Dai trusts endorse each paper. Same corpus, a different order for every researcher.
- An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
- Maximum likelihood Bayesian averaging of uncertain model predictions
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- The future of distributed models: model calibration and uncertainty prediction.
- A manifesto for the equifinality thesis
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
- Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors
- Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
- Assessment and Propagation of Model Uncertainty