Results 11 to 20 of about 1,401 (188)
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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Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree Construction. [PDF]
Stat MedABSTRACT Survival trees are popular alternatives to Cox or Aalen regression models that offer both modeling flexibility and graphical interpretability. This paper introduces a new algorithm for survival trees that relaxes the assumption of independent censoring. To this end, we use the copula‐graphic estimator to estimate survival functions.
Baur P, Pauly M, Emura T.
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Comportement extrémal des copules diagonales et de Bertino
Comptes Rendus. Mathématique, 2021 The maximal attractors of bivariate diagonal and Bertino copulas are determined under suitable regularity conditions. Some consequences of these facts are drawn, namely bounds on the maximal attractor of a symmetric copula with a given diagonal section ...
Genest, Christian, Sabbagh, Magid
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SELECTING BIVARIATE COPULA MODELS USING IMAGE RECOGNITION [PDF]
ASTIN Bulletin, 2022 AbstractThe choice of a copula model from limited data is a hard but important task. Motivated by the visual patterns that different copula models produce in smoothed density heatmaps, we consider copula model selection as an image recognition problem. We extract image features from heatmaps using the pre-trained AlexNet and present workflows for model
Tsanakas, A., Zhu, R.
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Lorenz-generated bivariate Archimedean copulas
Dependence Modeling, 2019 Abstract A novel generating mechanism for non-strict bivariate Archimedean copulas via the Lorenz curve of a non-negative random variable is proposed. Lorenz curves have been extensively studied in economics and statistics to characterize wealth inequality and tail risk.
Fontanari, A. (author) +2 more
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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
Journal of Marine Science and Engineering, 2022 The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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Flood routing via a copula-based approach
Hydrology Research, 2021 Floods are among the most common natural disasters that if not controlled may cause severe damage and high costs. Flood control and management can be done using structural measures that should be designed based on the flood design studies. The simulation
Mohammad Nazeri Tahroudi +3 more
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The Bivariate Normal Copula [PDF]
Communications in Statistics - Theory and Methods, 2013 We collect well known and less known facts about the bivariate normal distribution and translate them into copula language. In addition, we prove a very general formula for the bivariate normal copula, we compute Gini's gamma, and we provide improved bounds and approximations on the diagonal.
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Bivariate quadratic copula constructions
International Journal of Approximate Reasoning, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Suttisak Wisadwongsa, Santi Tasena
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Bivariate hydrologic risk analysis for the Xiangxi River in Three Gorges Reservoir Area, China
Environmental Systems Research, 2022 Background Hydrological extremes such as floods generally have multidimensional attributes with complex dependence structures. This leads to the urgent demand of hydrological risk analysis within a multivariate context.
Y. R. Fan
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