Results 31 to 40 of about 44,033 (313)
Estimation of Copula Density Using the Wavelet Transform
مجلة بغداد للعلومThis paper proposes a new method to estimate the copula density function using wavelet decomposition as a nonparametric method, to obtain more accurate results and address the issue of boundary effects that nonparametric estimation methods suffer from ...
Fatimah Hashim Falhi +1 more
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Penerapan Metode GARCH-Vine Copula untuk Estimasi Value at Risk (VaR) pada Portofolio
Jurnal Fourier, 2018 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
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A COPULA APPLICATION FOR MECHANICAL PROPERTIES [PDF]
Fiabilitate şi Durabilitate, 2019 Based on copula applications, the work points out the use of cumulative distribution function for the characteristics bivariate cases and the connections among them.
Adrian Stere PARIS
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Dependence Modeling, 2018 The family of Clayton copulas is one of the most widely used Archimedean copulas for dependency measurement. A major drawback of this copula is that when it accounts for negative dependence, the copula is nonstrict and its support is dependent on the ...
Cooray Kahadawala
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Correlation between Rainfall and Runoff in Fuchun River Basin Based on Copula Functions and Kernel Density Estimation [PDF]
长江科学院院报[Objective] Rainfall and runoff are two important hydrological variables in river basins, exhibiting the characteristic of random distribution. In-depth analysis of the relationship between rainfall and runoff holds significant importance for watershed ...
YANG Sheng-mei, ZHU De-kang, CHENG Xiang, LI Bo, ZHU Yan-ze, MA Wen-sheng
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A multivariate piecing-together approach with an application to operational loss data
, 2012 The univariate piecing-together approach (PT) fits a univariate generalized Pareto distribution (GPD) to the upper tail of a given distribution function in a continuous manner. We propose a multivariate extension.
Aulbach, Stefan +2 more
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Correlation analysis of diabetes based on Copula
Frontiers in EndocrinologyIntroductionThe ratio of Triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) is a crucial indicator for diabetes diagnosis.MethodsThis study utilizes the Copula function to model and fit the non-linear correlation among fasting blood ...
Chang Liu +3 more
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Joint Modeling of Birth Outcomes Using a Copula Distributional Regression Approach. [PDF]
Health EconABSTRACT Low birth weight and preterm birth are key indicators of neonatal health, influencing both immediate and long‐term infant outcomes. While low birth weight may reflect fetal growth restrictions, preterm birth captures disruptions in gestational development. Ignoring the potential interdependence between these variables may lead to an incomplete
Marra G, Radice R.
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Dynamic Bivariate Normal Copula
, 2015 Normal copula with a correlation coefficient between $-1$ and $1$ is tail independent and so it severely underestimates extreme probabilities. By letting the correlation coefficient in a normal copula depend on the sample size, H\"usler and Reiss (1989 ...
Liao, Xin +3 more
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Monitoring Test for Stability of Dependence Structure in Multivariate Data Based on Copula
Entropy, 2016 In this paper, we consider a sequential monitoring procedure for detecting changes in copula function. We propose a cusum type of monitoring test based on the empirical copula function and apply it to the detection of the distributional changes in copula
Jiyeon Lee, Byungsoo Kim
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