35 citations · 54 across the 13 of their papers we have counts for
14 papers · 1 filter
Informative Distance-Based Priors for Correlation Matrices Centred on a Target Reference
Anna Freni-Sterrantino, Janet van Niekerk, Elias Teixeira Krainski +3
Specifying a prior over the space of correlation matrices is a persistent challenge in Bayesian analysis. The space is a curved manifold whose dimension grows quadratically with th…
A flexible wrapped Lindley-type distribution for angular data modelling
Johan Ferreira, Delene van Wyk-de Ridder, Janet van Niekerk
Flexible distributions for modelling angular data have received considerable attention in recent years, with ongoing work extending existing circular models to provide greater flex…
A robust contaminated discrete Weibull regression model for outlier-prone count data
Divan A. Burger, Janet van Niekerk, Emmanuel Lesaffre
Count data often exhibit overdispersion driven by heavy tails or excess zeros, making standard models (e.g., Poisson, negative binomial) insufficient for handling outlying observat…
Penalizing complexity priors for Bayesian inference of circular models
Xiang Ye, Janet Van Niekerk, Håvard Rue
Advancements in computational power and methodologies have enabled research on massive datasets. However, tools for analyzing data with directional or periodic characteristics, suc…
Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
Denis Rustand, Janet van Niekerk, Elias Teixeira Krainski +1
This paper introduces the R package INLAjoint, designed as a toolbox for fitting a diverse range of regression models addressing both longitudinal and survival outcomes. INLAjoint…
A graphical framework for interpretable correlation matrix models
Anna Freni Sterrantino, Denis Rustand, Janet van Niekerk +2
In this work, we present a new approach for constructing models for correlation matrices with a user-defined graphical structure. The graphical structure makes correlation matrices…