Risk of Crop Yield Reduction in China under 1.5 °C and 2 °C Global Warming from CMIP6 Models. [PDF]
Foods, 2023 Wang F, Zhan C, Zou L.
europepmc +1 more source
Bivariate Aging Properties under Archimedean Dependence Structures [PDF]
, 2010 Mulero, J., Pellerey, Franco
core +1 more source
An approach based on multivariate distribution and Gaussian copulas to predict groundwater quality using DNN models in a data scarce environment. [PDF]
MethodsX, 2023 Nafii A, Lamane H, Taleb A, El Bilali A.
europepmc +1 more source
Joint Risk Analysis of Extreme Rainfall and High Tide Level Based on Extreme Value Theory in Coastal Area. [PDF]
Int J Environ Res Public Health, 2023 Chen H, Xu Z, Chen J, Liu Y, Li P.
europepmc +1 more source
Copula-based risk aggregation with trapped ion quantum computers. [PDF]
Sci Rep, 2023 Zhu D +5 more
europepmc +1 more source
A Topological Proof of the Archimedean Axiom for Archimedean Copulas
Archimedean copulas are a popular type of copulas in which a variant of the Archimedean axiom apply. We provide a topological proof of the Archimedean Axiom which is applicable for non-continuous distribution functions.
openaire +2 more sources
Application of the Joint Frailty Copula Model for Analyzing Time to Relapse and Time to Death of Women with Cervical Cancer. [PDF]
Int J Womens Health, 2023 Shewa Gari F +2 more
europepmc +1 more source
A copula-based multivariate flood frequency analysis under climate change effects. [PDF]
Sci RepKhajehali M +4 more
europepmc +1 more source
A copula based supervised filter for feature selection in machine learning driven diabetes risk prediction. [PDF]
Sci RepAich A, Murshed MM, Hewage S, Mayeaux A.
europepmc +1 more source
Is CSR linked to idiosyncratic risk? Evidence from the copula approach. [PDF]
Ann Oper Res, 2022 Mefteh-Wali S, Rais H, Schier G.
europepmc +1 more source