Mainstream statistical methodology is generally applicable to data observed in Euclidean
space. There are, however, numerous contexts of considerable scientific interest in which …

The interpretation of the effect of predictors in projected normal regression models is not
straight‐forward. The main aim of this paper is to make this interpretation easier such that …

Motivated by a study from cognitive psychology, we develop a Generalized Linear Model for
circular data within the Bayesian framework, using the von Mises distribution. Although …

This article describes a new way to analyze data from the interpersonal circumplex (IPC) for
interpersonal behavior. Instead of analyzing Agency and Communion separately or …

Modelling the time of occurrence of events from data streams is a challenging task, since the
underlying distributions can be both cyclic and multimodal. Moreover, in order to avoid the …

A cylindrical distribution whose linear part models heavy-tailedness is proposed. The
conditional distribution of the linear variable given the circular variable is a generalized …

In this work, we introduce a model for circular data analysis to robustly estimate parameters,
under a longitudinal clustering setting. A hidden Markov model for longitudinal circular data …

This article considers a circular regression model for clustered data, where both the cluster
effects and the regression errors have von Mises distributions. It involves β, a vector of …

Statistical inference on the circle may strongly depend on the chosen reference system.
Here, we introduce necessary and sufficient conditions to avoid inferential problems and …

Accelerometers are commonly used in human medical and public health research to
measure physical movement, which is relevant in a wide range of studies, from physical …