Kun-xia Yu

Global and Planetary Change · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 40 citations into it; #3,108 of 10,225 by trust here, #6,443 by citations
• Finance — 33 citations into it; #5,992 of 10,518 by trust here, #7,251 by citations
• Statistics and Probability — 13 citations into it
• Economics and Econometrics — 12 citations into it
• Water Science and Technology — 11 citations into it; #1,600 of 1,711 by trust here, #1,371 by citations
• Environmental Engineering — 9 citations into it

Whom Kun-xia Yu trusts overall

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

1. Christian Genest
2. András Bárdossy
3. G. Salvadori
4. Ivan Kojadinovic
5. Cyril Caillault
6. Anne-Catherine Favre
7. Carlo De Michele
8. Bruno R'emillard
9. Kjersti Aas
10. Jun Yan

Who trusts Kun-xia Yu overall

1. Zhangjun Liu
2. F. Tosunoğlu
3. Lihua Xiong
4. Shenglian Guo
5. İ. Can
6. A. Daneshkhah
7. Chong-yu Xu
8. Kuk‐Hyun Ahn

Papers from Kun-xia Yu's perspective

Ordered by how strongly the researchers Kun-xia Yu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fonctions de repartition a n dimensions et leurs marges
2. Extremes in Nature : an approach using Copulas
3. Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask
4. Modeling Multivariate Distributions with Continuous Margins Using the copula R Package
5. Goodness-of-fit tests for copulas: A review and a power study
6. Test of independence and randomness based on the empirical copula process
7. Fully Nested 3-Copula: Procedure and Application on Hydrological Data
8. Copula‐based geostatistical models for groundwater quality parameters
9. A new look at the statistical model identification
10. Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls

Their papers

• A framework of change‐point detection for multivariate hydrological series (2015) — 72 citations
• Derivation of low flow distribution functions using copulas (2014) — 48 citations
• Estimation of the distribution of annual runoff from climatic variables using copulas (2014) — 77 citations