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03/09/2022
Efficient and feasible inference for high-dimensional normal copula regression models
The composite likelihood (CL) is amongst the computational methods used ...
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01/02/2022
Factor tree copula models for item response data
Factor copula models for item response data are more interpretable and f...
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02/21/2021
Bi-factor and second-order copula models for item response data
Bi-factor and second-order models based on copulas are proposed for item...
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10/15/2020
A multinomial truncated D-vine copula mixed model for the joint meta-analysis of multiple diagnostic tests
There is an extensive literature on methods for meta-analysis of diagnos...
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06/16/2020
An one-factor copula mixed model for joint meta-analysis of multiple diagnostic tests
As the meta-analysis of more than one diagnostic tests can impact clinic...
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11/27/2019
The bivariate K-finite normal mixture "blanket" copula: an application to driving patterns
There are many bivariate parametric copulas in the literature to model b...
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07/17/2019
Factor copula models for mixed data
We develop factor copula models for analysing the dependence among mixed...
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12/13/2018
A multinomial quadrivariate D-vine copula mixed model for diagnostic studies meta-analysis accounting for non-evaluable subjects
Diagnostic test accuracy studies observe the result of a gold standard p...
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12/10/2018
A vine copula mixed model for trivariate meta-analysis of diagnostic studies accounting for disease prevalence and non-evaluable subjects
A recent paper proposed a trivariate generalized linear mixed model (TGL...
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05/22/2018