András Bárdossy
Global and Planetary Change · 2006–2015
A researcher in the Science corpus: 10 papers; trusts 38 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 37 citations into it; #1,265 of 10,225 by trust here, #3,762 by citations
- Finance — 24 citations into it
- Water Science and Technology — 20 citations into it; #144 of 1,711 by trust here, #499 by citations
- Statistics and Probability — 13 citations into it; #1,393 of 12,932 by trust here, #4,014 by citations
- Environmental Engineering — 12 citations into it; #125 of 5,479 by trust here, #931 by citations
- Management Science and Operations Research — 12 citations into it
- Atmospheric Science — 5 citations into it; #711 of 4,804 by trust here, #2,390 by citations
- Economics and Econometrics — 5 citations into it; #2,131 of 23,481 by trust here, #9,863 by citations
Whom András Bárdossy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- F. Serinaldi
- Roger B. Nelsen
- Carlo De Michele
- G. Salvadori
- Bradley Efron
- Alan Genz
- Keith Beven
- R. Srikanthan
- Rajeshwar Mehrotra
- G. Pegram
Who trusts András Bárdossy overall
- F. Serinaldi
- Benedikt Gräler
- M. Brunner
- Tomislav Hengl
- Sander Vandenberghe
- Lihua Xiong
- G. Pegram
- Pavel Krupskii
- Stefanie Vogl
- Mojca Šraj
Papers from András Bárdossy's perspective
Ordered by how strongly the researchers András Bárdossy trusts endorse each paper. Same corpus, a different order for every researcher.
- Fonctions de repartition a n dimensions et leurs marges
- Extremes in Nature : an approach using Copulas
- Multivariate hydrological frequency analysis using copulas
- The Meta-elliptical Distributions with Given Marginals
- Modeling Multivariate Distributions with Continuous Margins Using the copula R Package
- An uncertain journey around the tails of multivariate hydrological distributions
- Estimating the tail-dependence coefficient: Properties and pitfalls
- Importance of Tail Dependence in Bivariate Frequency Analysis
- A Generalized Pareto intensity‐duration model of storm rainfall exploiting 2‐Copulas
- Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls
Their papers
- Copula‐based geostatistical models for groundwater quality parameters (2006) — 294 citations
- Upper tail dependence in rainfall extremes: would we know it if we saw it? (2015) — 69 citations
- Infilling missing precipitation records – A comparison of a new copula-based method with other techniques (2014) — 85 citations
- Interpolation of precipitation under topographic influence at different time scales (2013) — 101 citations
- Streamflow prediction in ungauged catchments using copula‐based dissimilarity measures (2010) — 138 citations
- Copula based multisite model for daily precipitation simulation (2009) — 211 citations
- Generic error model for calibration and uncertainty estimation of hydrological models (2008) — 99 citations
- Robust estimation of hydrological model parameters (2008) — 211 citations
- Geostatistical interpolation using copulas (2008) — 285 citations
- Regional estimation of parameters of a rainfall‐runoff model at ungauged watersheds using the “spatial” structures of the parameters within a canonical physiographic‐climatic space (2008) — 95 citations