Niko E. C. Verhoest
Global and Planetary Change · 2006–2017
A researcher in the Science corpus: 11 papers; trusts 41 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 132 citations into it; #3,016 of 10,225 by trust here, #1,759 by citations
- Finance — 76 citations into it; #8,011 of 10,518 by trust here, #5,523 by citations
- Statistics and Probability — 50 citations into it
- Atmospheric Science — 35 citations into it; #1,321 of 4,804 by trust here, #2,779 by citations
- Environmental Engineering — 31 citations into it; #1,620 of 5,479 by trust here, #2,361 by citations
- Water Science and Technology — 20 citations into it; #429 of 1,711 by trust here, #453 by citations
- Ecology — 19 citations into it
- Ocean Engineering — 19 citations into it
Whom Niko E. C. Verhoest trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G. Salvadori
- Christian Genest
- Carlo De Michele
- F. Serinaldi
- Shih-Chieh Kao
- Salvatore Grimaldi
- Anne-Catherine Favre
- Sander Vandenberghe
- András Bárdossy
- Roger B. Nelsen
Who trusts Niko E. C. Verhoest overall
- Sander Vandenberghe
- G. De Lannoy
- Mojca Šraj
- Hilde Vernieuwe
- Valentijn R. N. Pauwels
- William A. Lahoz
- B. De Baets
- Cong Jiang
- Nejc Bezak
Papers from Niko E. C. Verhoest's perspective
Ordered by how strongly the researchers Niko E. C. Verhoest trusts endorse each paper. Same corpus, a different order for every researcher.
- Extremes in Nature : an approach using Copulas
- Fonctions de repartition a n dimensions et leurs marges
- Frequency analysis via copulas: Theoretical aspects and applications to hydrological events
- Importance of Tail Dependence in Bivariate Frequency Analysis
- RANK-BASED INFERENCE FOR BIVARIATE EXTREME-VALUE COPULAS
- Bivariate return periods via 2-Copulas
- An Introduction to Copulas
- Copula goodness-of-fit testing: an overview and power comparison
- Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask
- Gumbel–Hougaard Copula for Trivariate Rainfall Frequency Analysis
Their papers
- Vegetation anomalies caused by antecedent precipitation in most of the world (2017) — 150 citations
- The Future of Earth Observation in Hydrology. (2017) — 453 citations
- A continuous rainfall model based on vine copulas (2015) — 86 citations
- Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation (2012) — 301 citations
- A comparative copula‐based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett‐Lewis modeled rainfall (2011) — 109 citations
- A stochastic design rainfall generator based on copulas and mass curves (2010) — 65 citations
- Fitting bivariate copulas to the dependence structure between storm characteristics: A detailed analysis based on 105 year 10 min rainfall (2010) — 117 citations
- State and bias estimation for soil moisture profiles by an ensemble Kalman filter: Effect of assimilation depth and frequency (2007) — 114 citations
- Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter (2007) — 205 citations
- Random forests as a tool for ecohydrological distribution modelling (2007) — 387 citations
- Assessment of model uncertainty for soil moisture through ensemble verification (2006) — 118 citations