2 papers
stat.ME2026
Modelling and detecting mild and gross anomalies in circular data via double-contaminated models
Antonio Punzo, Andriëtte Bekker, Arno Otto +2
In this paper, we propose a model-based framework to robustify inference for circular data in the presence of anomalous observations, distinguishing between mild and gross anomalie…
stat.AP2024
Does wind affect the orientation of vegetation stripes? A copula-based mixture model for axial and circular data
Marco Mingione, Francesco Lagona, Priyanka Nagar +4
Motivated by a case study of vegetation patterns, we introduce a mixture model with concomitant variables to examine the association between the orientation of vegetation stripes a…