1 citations · 1 across the 3 of their papers we have counts for
6 papers
Modeling animal movement with directional persistence and attractive points
Gianluca Mastrantonio
GPS technology is currently easily accessible to researchers, and many animal movement datasets are available. Two of the main features that a model which describes an animal's pat…
CircSpaceTime: an R package for spatial and spatio-temporal modeling of Circular data
Giovanna Jona Lasinio, Mario Santoro, Gianluca Mastrantonio
CircSpaceTime is the only R package currently available that implements Bayesian models for spatial and spatio-temporal interpolation of circular data. Such data are often found in…
New formulation of the Logistic-Gaussian process to analyze trajectory tracking data
Gianluca Mastrantonio, Clara Grazian, Sara Mancinelli +1
Improved communication systems, shrinking battery sizes and the price drop of tracking devices have led to an increasing availability of trajectory tracking data. These data are of…
Semi-parametric Bayesian change-point model based on the Dirichlet process
Gianluca Mastrantonio
In this work we introduce a semi-parametric Bayesian change-point model, defining its time dynamic as a latent Markov process based on the Dirichlet process. We treat the number of…
A Hierarchical Multivariate Spatio-Temporal Model for Large Clustered Climate data with Annual Cycles
Gianluca Mastrantonio, Giovanna Jona Lasinio, Alessio Pollice +4
We present a multivariate hierarchical space-time model to describe the joint series of monthly extreme temperatures and amounts of rainfall. Data are available for 360 monitoring…
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…