Johanna G. Nevslehov'a
Finance · 2009–2014
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Finance — 19 citations into it; #1,829 of 10,518 by trust here, #2,723 by citations
- Statistics and Probability — 15 citations into it; #2,459 of 12,932 by trust here, #2,693 by citations
- Management Science and Operations Research — 6 citations into it
- Demography — 5 citations into it
Whom Johanna G. Nevslehov'a trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Genest
- Umberto Cherubini
- Johan Segers
- Thomas Mikosch
- Eckhard Liebscher
- Ivan Kojadinovic
- Johana Nešlehová
- Alexander J. McNeil
- Elisa Luciano
Who trusts Johanna G. Nevslehov'a overall
- Denis Belomestny
- Fabrizio Durante
- Kjersti Aas
- Christian Genest
- Jennifer L. Wadsworth
- Paul Embrechts
- Johana Nešlehová
- Daniel Berg
- Carlo Sempi
- Aristidis K. Nikoloulopoulos
Papers from Johanna G. Nevslehov'a's perspective
Ordered by how strongly the researchers Johanna G. Nevslehov'a trusts endorse each paper. Same corpus, a different order for every researcher.
- RANK-BASED INFERENCE FOR BIVARIATE EXTREME-VALUE COPULAS
- Fonctions de repartition a n dimensions et leurs marges
- Extremes in Nature : an approach using Copulas
- Construction of asymmetric multivariate copulas
- Comparison of three semiparametric methods for estimating dependence parameters in copula models
- Monographs on statistics and applied probability
- Comparison of semiparametric and parametric methods for estimating copulas (Computational Statistics & Data Analysis)
- Goodness-of-fit tests for copulas: A review and a power study
- Archimedean copulae and positive dependence
- Modeling Multivariate Distributions with Continuous Margins Using the copula R Package
Their papers
- Multivariate Archimedean copulas, $d$-monotone functions and $\ell_1$-norm symmetric distributions (2009) — 727 citations
- A goodness-of-fit test for bivariate extreme-value copulas (2011) — 96 citations
- On the empirical multilinear copula process for count data (2014) — 62 citations