1 citations · 1 across the 9 of their papers we have counts for
4 papers · 2 filters
The joint projected normal and skew-normal: a distribution for poly-cylindrical data
Gianluca Mastrantonio
The contribution of this work is the introduction of a multivariate circular-linear (or poly- cylindrical) distribution obtained by combining the projected and the skew-normal. We…
Hidden Markov model for discrete circular-linear wind data time series
Gianluca Mastrantonio, Gianfranco Calise
In this work, we deal with a bivariate time series of wind speed and direction. Our observed data have peculiar features, such as informative missing values, non-reliable measures…
The wrapped skew Gaussian process for analyzing spatio-temporal data
Gianluca Mastrantonio, Giovanna Jona Lasinio, Alan E. Gelfand
We consider modeling of angular or directional data viewed as a linear variable wrapped onto a unit circle. In particular, we focus on the spatio-temporal context, motivated by a c…
Spatio-temporal circular models with non-separable covariance structure
Gianluca Mastrantonio, Giovanna Jona Lasinio, Alan E. Gelfand
Circular data arise in many areas of application. Recently, there has been interest in looking at circular data collected separately over time and over space. Here, we extend some…