4 papers
Penalizing complexity priors for Bayesian inference of circular models
Xiang Ye, Janet Van Niekerk, HÃ¥vard Rue
Advancements in computational power and methodologies have enabled research on massive datasets. However, tools for analyzing data with directional or periodic characteristics, suc…
Spatial Gaussian fields for complex areas with application to marine megafauna conservation
Martina Le-Bert Heyl, Janet van Niekerk, Haavard Rue
Spatial Gaussian fields (SGFs) are widely employed in modeling the distributions of marine megafauna, yet they traditionally rely on assumptions of isotropy and stationarity, condi…
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…
Scalable skewed Bayesian inference for latent Gaussian models
Shourya Dutta, Janet van Niekerk, Haavard Rue
Approximate Bayesian inference for the class of latent Gaussian models can be achieved efficiently with integrated nested Laplace approximations (INLA). Based on recent reformulati…