Results 71 to 80 of about 4,366 (211)
Penerapan Metode GARCH-Vine Copula untuk Estimasi Value at Risk (VaR) pada Portofolio
Salah satu alat ukur yang digunakan untuk menghitung risiko portofolio adalah Value at Risk (VaR). Beberapa metode pengukuran VaR mengasumsikan return berdistribusi normal dan ukuran dependensi antar saham menggunakan korelasi linear.
Herida Okta Pintari, Retno Subekti
doaj +1 more source
Abstract As a fundamental driving behavior, the accurate modeling of car‐following (CF) dynamics is essential for improving traffic flow and advancing autonomous driving technologies. Due to the stochastic nature of CF behaviors, the CF model parameters often exhibit heterogeneity (multimodal trends), distribution uncertainty, and parameter ...
Shubo Wu +4 more
wiley +1 more source
Exact simulation of reciprocal Archimedean copulas [PDF]
The decreasing enumeration of the points of a Poisson random measure whose mean measure has finite survival function on the positive half-axis can be represented as a non-increasing function of the jump times of a standard Poisson process. This observation allows to generalize the essential idea from a well-known exact simulation algorithm for ...
openaire +2 more sources
Hybrid Clayton-Frank Convolution-Based Bivariate Archimedean Copula
This study exploits the closure property of the converse convolution operator to come up with a hybrid Clayton-Frank Archimedean copula for two random variables.
Maxwell Akwasi Boateng +3 more
doaj +1 more source
Archimedean copula and contagion modeling in epidemiology
The aim of this paper is first to find interactions between compartments of hosts in the Ross-Macdonald Malaria transmission system. So, to make clearer this association we introduce the concordance measure and then the Kendall's tau and Spearman's rho ...
Jacques Demongeot +4 more
doaj +1 more source
Simulating Realistic Design Storms: A Joint Return Period Approach
Abstract Design storms are key components for planning drainage networks and flood risk management. Due to atmospheric processes, precipitation accumulations across multiple temporal intervals are often correlated and can combine to shape flood intensities. However, current design storm guidance overlook the observed correlations between return periods
Tabea Cache +4 more
wiley +1 more source
Water resources operational planning, managements or either flood defence infrastructure designs often demand the estimations of flow exceedance probability for visualizing the risk of flood episodes.
Shahid Latif, Firuza Mustafa
doaj +1 more source
Abstract Groundwater (GW) is the primary water source of socio‐economic development in water‐deficient regions, and long‐term overexploitation may cause GW depletion and deterioration. In this study, after analyzing the relationship between GW level and related factors, the main influencing factors were identified from the perspective of climate change
Yan Han +3 more
wiley +1 more source
Global Flood Projection and Socioeconomic Implications Under a Deep Learning Framework
Abstract As the planet warms, the frequency and severity of weather‐related hazards such as floods are intensifying, posing substantial threats to communities around the globe. Rising flood peaks and volumes claim lives, damage infrastructure, and compromise access to essential services.
Shengyu Kang +6 more
wiley +1 more source
ABSTRACT If (X,Y)$$ \left(X,Y\right) $$ is a random pair with distribution function FX,Y(x,y)=ℙ(X≤x,Y≤y)$$ {F}_{X,Y}\left(x,y\right)=\mathbb{P}\left(X\le x,Y\le y\right) $$, one can define the level curve of probability p$$ p $$ as the values of (x,y)∈ℝ2$$ \left(x,y\right)\in {\mathbb{R}}^2 $$ such that FX,Y(x,y)=p$$ {F}_{X,Y}\left(x,y\right)=p ...
Albert Folcher, Jean‐François Quessy
wiley +1 more source

