Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Mastrantonio, Gianluca"'
Autor:
Yip, Hiu Ching, Valente, Daria, Bibbona, Enrico, Friard, Olivier, Mastrantonio, Gianluca, Gamba, Marco
This paper proposes a hierarchical spatial-temporal model for modelling the spectrograms of animal calls. The motivation stems from analyzing recordings of the so-called grunt calls emitted by various lemur species. Our goal is to identify a latent s
Externí odkaz:
http://arxiv.org/abs/2406.04915
Building on Dryden et al. (2021), this note presents the Bayesian estimation of a regression model for size-and-shape response variables with Gaussian landmarks. Our proposal fits into the framework of Bayesian latent variable models and allows a hig
Externí odkaz:
http://arxiv.org/abs/2303.06661
Prostatectomized patients are at risk of resurgence: this is the reason why, during a follow-up period, they are monitored for PSA growth, an indicator of tumor progression. The presence of tumors can be evaluated with an expensive exam, called PET-P
Externí odkaz:
http://arxiv.org/abs/2302.10861
Autor:
Mastrantonio, Gianluca
In this work, we propose a model that can be used to infer the behavior of multiple animals. Our proposal is defined as a set of hidden Markov models that are based on the sticky hierarchical Dirichlet process, with a shared base-measure, and a STAP
Externí odkaz:
http://arxiv.org/abs/2111.05985
Autor:
Mastrantonio, Gianluca
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 path can possess are directional persistence and attraction to a point in
Externí odkaz:
http://arxiv.org/abs/2012.03248
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 applications where, among the many, wind directions, animal movement
Externí odkaz:
http://arxiv.org/abs/2001.00405
Autor:
Mancini, Gianluca, Mastrantonio, Gianluca, Pollice, Alessio, Jona Lasinio, Giovanna, Belluscio, Andrea, Casoli, Edoardo, Silvia Pace, Daniela, Ardizzone, Giandomenico, Ventura, Daniele
Publikováno v:
In Ecological Indicators June 2023 150
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 often analyzed to understand animal behavior. In this work, we propose a
Externí odkaz:
http://arxiv.org/abs/1808.00436
Autor:
Mastrantonio, Gianluca
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 change point as a random variable and we estimate it during model fit
Externí odkaz:
http://arxiv.org/abs/1805.06478
Autor:
Mastrantonio, Gianluca, Lasinio, Giovanna Jona, Pollice, Alessio, Capotorti, Giulia, Teodonio, Lorenzo, Genova, Giulio, Blasi, Carlo
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 stations over 60 years, with missing data affecting almost all series.
Externí odkaz:
http://arxiv.org/abs/1801.00274