Giampiero Marra

Orcid: 0000-0002-9010-2646

Affiliations:
  • University College London, UK


According to our database1, Giampiero Marra authored at least 18 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme.
Comput. Stat. Data Anal., 2022

2021
Robust fitting for generalized additive models for location, scale and shape.
Stat. Comput., 2021

Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections.
Comput. Stat. Data Anal., 2021

Penalised maximum likelihood estimation in multi-state models for interval-censored data.
Comput. Stat. Data Anal., 2021

2020
Generalised joint regression for count data: a penalty extension for competitive settings.
Stat. Comput., 2020

2018
Sample selection models for count data in R.
Comput. Stat., 2018

Copula based generalized additive models for location, scale and shape with non-random sample selection.
Comput. Stat. Data Anal., 2018

2017
Semi-parametric bivariate polychotomous ordinal regression.
Stat. Comput., 2017

Regression spline bivariate probit models: A practical approach to testing for exogeneity.
Commun. Stat. Simul. Comput., 2017

Bivariate copula additive models for location, scale and shape.
Comput. Stat. Data Anal., 2017

Applying Spatial Copula Additive Regression to Breast Cancer Screening Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016
Copula regression spline models for binary outcomes.
Stat. Comput., 2016

Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model.
J. Oper. Res. Soc., 2016

Semi-parametric copula sample selection models for count responses.
Comput. Stat. Data Anal., 2016

2014
Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models.
Comput. Stat., 2014

A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients.
Comput. Math. Methods Medicine, 2014

2013
Estimation of a regression spline sample selection model.
Comput. Stat. Data Anal., 2013

2011
Practical variable selection for generalized additive models.
Comput. Stat. Data Anal., 2011


  Loading...