Results 51 to 60 of about 4,366 (211)
International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.In order to accurately evaluate and tap the mutual‐aid capacity potential of interconnected power stations under the scenario of peak‐to‐peak compensation between new energy output and load demand, this paper uses Copula function to describe the correlation structure of wind, light, and load from the perspective of source–load matching, quantify the ...
Chao Ding +6 more
wiley +1 more source
A two-component copula with links to insurance
Dependence Modeling, 2017 This paper presents a new copula to model dependencies between insurance entities, by considering how insurance entities are affected by both macro and micro factors.
Ismail S., Yu G., Reinert G., Maynard T.
doaj +1 more source
Algorithms, 2020 In this paper, we develop a novel computation model of Intuitionistic Fuzzy Values with the usage of fuzzy negations and Archimedean copulas. This novel computation model’s structure is based on the extension of the existing operations of intuitionistic ...
Stylianos Giakoumakis +1 more
doaj +1 more source
Advances in Meteorology, 2023 The univariate analysis of hydrological extremes is a well-established practice in developing countries such as Ethiopia. However, for the design of hydrological and hydraulic systems, it is essential to have a thorough understanding of flood event ...
Mesfin Mamo Haile +4 more
doaj +1 more source
Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.The evolution pattern of dam deformation reflects its structural response and operational state. Analyzing this pattern enables effective identification of the probability of deformation anomalies. Deviation reflects the extent to which dam deformation deviates from its expected evolution pattern and serves as an important basis for identifying ...
Xudong Chen +8 more
wiley +1 more source
Simplified Pair Copula Constructions --- Limits and Extensions [PDF]
, 2012 So called pair copula constructions (PCCs), specifying multivariate distributions only in terms of bivariate building blocks (pair copulas), constitute a flexible class of dependence models.
Czado, Claudia +2 more
core
Archimedean Copula Estimation Parameter with Kendall Distribution Function
Cumhuriyet Science Journal, 2017 In the literature, up to now, it is common thatfor Gumbel, Clayton and Frank calculated Kendall Distribution function and to the extent those applications havebeen made.
Ayşe Metın Karakas +2 more
doaj +1 more source
Copula‐Based Deep Learning Models for Competing Risks
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 18, Issue 6, December 2025.ABSTRACT This study introduces a novel approach to modeling competing risks in survival analysis by integrating learnable Copula functions (Clayton, Frank, and Gaussian) with deep learning architectures, including Convolutional Neural Networks (CNN), Long Short‐Term Memory (LSTM) networks, and a hybrid CNN‐LSTM model.
Jong‐Min Kim, Jihoon Kim, Il Do Ha
wiley +1 more source
Exploring Two Modified Ali-Mikhail-Haq Copulas and New Bivariate Logistic Distributions
Pan-American Journal of MathematicsThe Ali-Mikhail-Haq copula is a bivariate ratio-type Archimedean copula known for its simplicity and flexibility in modeling moderate negative and positive dependence structures, making it widely used in various fields.
Christophe Chesneau
doaj +1 more source
Archimedean Survival Processes [PDF]
, 2011 Archimedean copulas are popular in the world of multivariate modelling as a result of their breadth, tractability, and flexibility. A. J. McNeil and J.
Hoyle, Edward, Menguturk, Levent Ali
core