1 citations · 1 across the 4 of their papers we have counts for
4 papers
Estimation of Dirichlet distribution parameters with bias-reducing adjusted score functions
Vincenzo Gioia, Euloge Clovis Kenne Pagui
The Dirichlet distribution, also known as multivariate beta, is the most used to analyse frequencies or proportions data. Maximum likelihood is widespread for estimation of Dirichl…
Accurate inference in negative binomial regression
Euloge Clovis Kenne Pagui, Alessandra Salvan, Nicola Sartori
Negative binomial regression is commonly employed to analyze overdispersed count data. With small to moderate sample sizes, the maximum likelihood estimator of the dispersion param…
Median bias reduction in cumulative link models
Vincenzo Gioia, Euloge Clovis Kenne Pagui, Alessandra Salvan
This paper presents a novel estimation approach for cumulative link models, based on median bias reduction as developed in Kenne Pagui et al. (2017). The median bias reduced estima…
Efficient implementation of median bias reduction with applications to general regression models
Euloge Clovis Kenne Pagui, Alessandra Salvan, Nicola Sartori
In numerous regular statistical models, median bias reduction (Kenne Pagui et al., 2017) has proven to be a noteworthy improvement over maximum likelihood, alternative to mean bias…