Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject copula
Showing results 1 to 9 of 9
Issue Date | Title | Author(s) |
29-Sep-2022 | Bivariate hydrologic risk analysis for the Xiangxi River in Three Gorges Reservoir Area, China | Fan, YR |
12-Mar-2020 | Coupling the two-level programming and copula for optimizing energy-water nexus system management – A case study of Henan Province | Yu, L; Li, QW; Jin, SW; Chen, C; Li, YP; Fan, YR; Zuo, QT |
24-Apr-2017 | Development of a copula-based particle filter (CopPF) approach for hydrologic data assimilation under consideration of parameter interdependence | Fan, YR; Huang, GH; Baetz, BW; Li, YP; Huang, K |
4-Feb-2020 | A factorial Bayesian copula framework for partitioning uncertainties in multivariate risk inference | Fan, Y; Huang, K; Huang, GH; Li, YP |
10-Jan-2020 | Multi-indicator evaluation for extreme precipitation events in the past 60 years over the Loess Plateau | Sun, C; Huang, G; Fan, Y |
27-Jan-2022 | Multivariate Hydrologic Risk Analysis for River Thames | Fan, Y; Gariel, RK |
3-Mar-2021 | Parameter uncertainty and sensitivity evaluation of copula-based multivariate hydroclimatic risk assessment | Huang, K; Fan, YR |
24-Apr-2020 | Temporal and spatial characteristics of multidimensional extreme precipitation indicators: A case study in the Loess plateau, China | Sun, C; Huang, G; Fan, Y |
29-Jul-2022 | Towards reliable uncertainty quantification for hydrologic predictions, Part I: Development of a particle copula Metropolis Hastings method | Fan, YR; Shi, X; Duan, QY; Yu, L |