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Core concepts in copula regression

Marra, Giampiero; Radice, Rosalba; (2025) Core concepts in copula regression. In: Copula Additive Distributional Regression Using R. Chapman and Hall/CRC: New York, NY, USA.

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Abstract

This chapter provides an overview of the copula additive distributional regression framework, focusing on essential elements such as copulae, marginal distributions, additive predictors and parameter estimation. Key concepts, namely effective degrees of freedom, information-based criteria, inference and residuals, are discussed to guide effective model development and evaluation. The chapter also offers an introduction to the GJRM and GJRM.data R packages, which support the implementation and illustration of the framework.

Type: Book chapter
Title: Core concepts in copula regression
DOI: 10.1201/9781003593195
Publisher version: https://doi.org/10.1201/9781003593195
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10218019
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