Guannan Zhang
Environmental Engineering · with Gunzburger · 2013
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 10 citations into it; #4,998 of 5,479 by trust here, #4,524 by citations
- Statistics and Probability — 10 citations into it; #12,225 of 12,932 by trust here, #9,714 by citations
- Ocean Engineering — 7 citations into it
- Water Science and Technology — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Guannan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jasper A. Vrugt
- Shlomo P. Neuman
- Youssef M. Marzouk
- John K. Kruschke
- S. Ejaz Ahmed
- Ming Ye
- Keith Beven
- G. Schoups
- James L. Beck
- Fabio Nobile
Who trusts Guannan Zhang overall
Papers from Guannan Zhang's perspective
Ordered by how strongly the researchers Guannan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
- The future of distributed models: model calibration and uncertainty prediction.
- A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
- An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (SIAM Journal on Numerical Analysis)
- High dimensional polynomial interpolation on sparse grids (Advances in Computational Mathematics)
- A stochastic collocation approach to Bayesian inference in inverse problems
- Maximum likelihood Bayesian averaging of uncertain model predictions
- Stochastic spectral methods for efficient Bayesian solution of inverse problems (Journal of Computational Physics)
- Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation
- Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference (Technometrics)