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<p>Copula model performance based on log-likelihood and association.</p>

NIAID Data Ecosystem2026-05-10 收录

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Copula model performance based on log-likelihood and association.

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创建时间：

2026-01-09

统计推断

copula模型

This article deals with robust inference for parametric copula models. Estimation using canonical maximum likelihood might be unstable, especially in the presence of outliers. We propose to use a proc

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Double Dynamic Max-copula Model with Application to Financial Time Series

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copula模型

Accurately modeling time-varying dependence structures is essential for financial market analysis, particularly during periods of market stress. Recognizing that traditional copula models often fail t

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Dependence Model Assessment and Selection with DecoupleNets

依赖模型评估

copula模型

Neural networks are suggested for learning a map from d-dimensional samples with any underlying dependence structure to multivariate uniformity in d′ dimensions. This map, termed DecoupleNet, is used

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Fast Computation of Latent Correlations

copula模型

生物信息学

Latent Gaussian copula models provide a powerful means to perform multi-view data integration since these models can seamlessly express dependencies between mixed variable types (binary, continuous, z

Taylor & Francis Group2022-08-03 更新50

Estimation of Copulas via Maximum Mean Discrepancy

统计推断

copula模型

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