Aristidis K. Nikoloulopoulos

Statistics and Probability · 2008–2013

A researcher in the Science corpus: 6 papers; trusts 42 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 49 citations into it; #9,594 of 12,932 by trust here, #9,233 by citations
• Finance — 34 citations into it; #1,919 of 10,518 by trust here, #2,723 by citations
• Artificial Intelligence — 26 citations into it; #17,392 of 35,345 by trust here, #25,040 by citations
• Management Science and Operations Research — 24 citations into it; #5,221 of 11,946 by trust here, #9,383 by citations
• Economics and Econometrics — 9 citations into it; #6,340 of 23,481 by trust here, #8,485 by citations
• Global and Planetary Change — 5 citations into it

Whom Aristidis K. Nikoloulopoulos trusts overall

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

1. Harry Joe
2. John C. Nash
3. Johana Nešlehová
4. Dimitris Karlis
5. Alan Genz
6. Christian Genest
7. Yinshan Zhao
8. Haijun Li
9. Alexander J. McNeil
10. R. Winkelmann

Who trusts Aristidis K. Nikoloulopoulos overall

1. Haijun Li
2. Dimitris Karlis
3. Xanthi Pedeli
4. Harry Joe
5. Raphaël Huser
6. A. C. Davison
7. Edward W. Frees
8. Yannan Sun
9. Mathieu Ribatet
10. Lluís Bermúdez

Papers from Aristidis K. Nikoloulopoulos's perspective

Ordered by how strongly the researchers Aristidis K. Nikoloulopoulos trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fonctions de repartition a n dimensions et leurs marges
2. Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls
3. Constraints on concordance measures in bivariate discrete data
4. Asymptotic efficiency of the two-stage estimation method for copula-based models
5. A Primer on Copulas for Count Data (ASTIN Bulletin: The Journal of the International Actuarial Association)
6. An Introduction to Copulas
7. Finite normal mixture copulas for multivariate discrete data modeling
8. Probability Density Decomposition for Conditionally Dependent Random Variables Modeled by Vines (Annals of Mathematics and Artificial Intelligence)
9. Copulas: Tales and facts
10. The t Copula and Related Copulas

Their papers

• Tail dependence functions and vine copulas (2010) — 327 citations
• Extreme value properties of multivariate t copulas (2009) — 159 citations
• Finite normal mixture copulas for multivariate discrete data modeling (2009) — 48 citations
• Regression in a copula model for bivariate count data (2010) — 51 citations
• Copula-Based Models for Multivariate Discrete Response Data (2013) — 66 citations
• On modeling count data: a comparison of some well-known discrete distributions (2008) — 65 citations