Circular data is data that is measured on a circle in degrees or radians. It is fundamentally
different from linear data due to its periodic nature (0°= 360°). Circular data arises in a large …

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

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 is considered to be the first to deal with the problem of outlier‐detection in
multivariate circular data. The proposed algorithm is an extension of the Local Outlier Factor …

The analysis of circular data has been recently the focus of a wide range of literature, with
the general objective of providing reliable parameter estimates in the presence of …

The modelling of animal movement is an important ecological and environmental issue. It is
well-known that animals change their movement patterns over time, according to observable …

For describing wind direction, a variety of statistical distributions has been suggested that
provides information about the wind regime at a particular location and aids the …

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 …

Motivated by studies of wildfire seasonality, we propose a nonhomogeneous hidden Markov
random field to model the spatial distribution of georeferenced fire occurrences during the …

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 …