Copula-based mixed models for bivariate rainfall data: an empirical study in regression perspective
By F. Serinaldi. 2009
51 citations recorded by the source corpus.
Subfields: Atmospheric Science, Finance, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/9ba2260bae6b950c59a479be6e14caccf0a26cd5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- B. De Baets
- Niko E. C. Verhoest
- Christian Onof
- Harald Kunstmann
- Patrick Laux
- Sander Vandenberghe
- Stefanie Vogl
In Finance
- B. De Baets
- Niko E. C. Verhoest
- Sander Vandenberghe
- H. Knoche
- W. Qiu
- Christian Onof
- Harald Kunstmann
- Patrick Laux
In Global and Planetary Change
- Niko E. C. Verhoest
- Sander Vandenberghe
- B. De Baets
- Christian Onof
- H. Knoche
- W. Qiu
- Harald Kunstmann
- Patrick Laux
Citations in the corpus
- Copula-based statistical refinement of precipitation in RCM simulations over complex terrain (2011, background): “Serinaldi (2009a) developed a copula-based rainfall model which is able to jointly account for discrete and continuous nature of observed daily rainfall, and can be used for simulating rainfall at multiple sites.”
- A comparative copula‐based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett‐Lewis modeled rainfall (2011, methodology): “Some useful contributions in this direction are provided by Salvadori and De Michele [2006], Grimaldi and Serinaldi [2006b], Kao and Govindaraju [2008], Lennartsson et al. [2008], Sun [2008], Bardossy and Pegram [2009], and Serinaldi [2009] and will be the subject of future research.”