Copula Additive Distributional Regression Using R

Author:   Giampiero Marra ,  Rosalba Radice
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032973111


Pages:   136
Publication Date:   23 June 2025
Format:   Hardback
Availability:   In Print   Availability explained
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Copula Additive Distributional Regression Using R


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Full Product Details

Author:   Giampiero Marra ,  Rosalba Radice
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.440kg
ISBN:  

9781032973111


ISBN 10:   1032973110
Pages:   136
Publication Date:   23 June 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Core concepts in copula regression. 2. Continuous outcomes. 3. Count outcomes . 4. Survival outcomes. 5. Binary outcomes . 6. Ordinal outcomes. 7. Binary outcome with partial observability. 8. Ordinal and continuous outcomes. 9. Binary and continuous outcomes. 10. Binary and count outcomes. 11. Count and continuous outcomes. 12. Binary outcome with binary treatment effect. 13. Time-to-event outcome with binary treatment effect. 14. Binary outcome with missingness not at random.

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Author Information

Giampiero Marra is a Professor of Statistics in the Department of Statistical Science at University College London (UCL). He holds a degree in Statistics and Economics from the University of Bologna (2004) and began his career in consultancy roles in the private sector. In 2007, he completed an MSc in Statistics at UCL and successfully defended his PhD thesis at the University of Bath in November 2010. Giampiero joined UCL as a faculty member in September 2010. Rosalba Radice is a Professor of Statistics at Bayes Business School, City St George’s, University of London. After earning her PhD in Statistics from the University of Bath, she held positions as a research assistant and research fellow at the London School of Hygiene and Tropical Medicine. From 2012 to 2018, Rosalba served as Lecturer, Senior Lecturer and then Reader in Statistics at Birkbeck, University of London. For over 15 years, Giampiero and Rosalba have collaborated extensively to advance methodological, computational and applied statistics. Their research spans diverse areas, including penalized likelihood-based inference, copula regression and survival analysis, with impactful applications in fields such as healthcare, economics, epidemiology and the social sciences. As part of their work, they developed the GJRM package for R, which enables researchers and practitioners to implement these methods effectively while promoting transparency and reproducibility.

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