1 citations · 2 across the 4 of their papers we have counts for
5 papers
Integrating Deep Learning and Spatial Statistics in Marine Ecosystem Monitoring
Gian Mario Sangiovanni, Gianluca Mastrantonio, Daniele Ventura +2
In ecology, photogrammetry is a crucial method for efficiently collecting non-destructive samples of natural environments. When estimating the spatial distribution of animals, dete…
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…
Bayesian Measurement Error Correction in Structured Additive Distributional Regression with an Application to the Analysis of Sensor Data on Soil-Plant Variability
Alessio Pollice, Giovanna Jona Lasinio, Roberta Rossi +3
The flexibility of the Bayesian approach to account for covariates with measurement error is combined with semiparametric regression models for a class of continuous, discrete and…
Assessing the role of the spatial scale in the analysis of lagoon biodiversity. A case-study on the macrobenthic fauna of the Po River Delta
Giovanna Jona Lasinio, Alessio Pollice, Eric Marcon +1
The analysis of benthic assemblages is a valuable tool to describe the ecological status of transitional water ecosystems, but species are extremely sensitive and respond to both m…
Distributions-oriented wind forecast verification by a hidden Markov model for multivariate circular-linear data
Gianluca Mastrantonio, Alessio Pollice, Francesca Fedele
Winds from the North-West quadrant and lack of precipitation are known to lead to an increase of PM10 concentrations over a residential neighborhood in the city of Taranto (Italy).…