Chong-yu Xu

Global and Planetary Change · with Xiong · 2000–2018

A researcher in the Science corpus: 10 papers; trusts 53 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 133 citations into it; #2,990 of 10,225 by trust here, #2,967 by citations
• Water Science and Technology — 79 citations into it; #1,283 of 1,711 by trust here, #742 by citations
• Environmental Engineering — 43 citations into it
• Finance — 41 citations into it
• Statistics and Probability — 24 citations into it
• Economics and Econometrics — 14 citations into it
• Atmospheric Science — 11 citations into it; #2,880 of 4,804 by trust here, #3,967 by citations
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Chong-yu Xu trusts overall

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

1. Keith Beven
2. G. Salvadori
3. K. Engeland
4. Jing Yang
5. Vijay P. Singh
6. Dmitri Kavetski
7. Lei Zhang
8. F. Serinaldi
9. Carlo De Michele
10. Salvatore Grimaldi

Who trusts Chong-yu Xu overall

1. Fotios Xystrakis
2. Chong-Yu Xu
3. Andreas Matzarakis
4. Vijay P. Singh
5. Lu Li
6. Kuk‐Hyun Ahn

Papers from Chong-yu Xu's perspective

Ordered by how strongly the researchers Chong-yu Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
2. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
3. Multivariate hydrological frequency analysis using copulas
4. Fonctions de repartition a n dimensions et leurs marges
5. A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall‐runoff modeling
6. Extremes in Nature : an approach using Copulas
7. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
8. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
9. Hydrological modelling of the Chaohe Basin in China: Statistical model formulation and Bayesian inference
10. Monte Carlo Sampling Methods Using Markov Chains and Their Applications

Their papers

• Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice (2018) — 57 citations
• Hydrological uncertainty processor based on a copula function (2018) — 46 citations
• Frequency analysis of nonstationary annual maximum flood series using the time‐varying two‐component mixture distributions (2017) — 71 citations
• Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula (2015) — 151 citations
• A framework of change‐point detection for multivariate hydrological series (2015) — 72 citations
• Uncertainty estimates by Bayesian method with likelihood of AR (1) plus Normal model and AR (1) plus Multi-Normal model in different time-scales hydrological models (2011) — 47 citations
• Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model (2010) — 341 citations
• Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models (2010) — 187 citations
• Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland (2002) — 362 citations
• Evaluation and generalization of radiation-based methods for calculating evaporation (2000) — 261 citations