gianluca mastrantonio
gianluca mastrantonio
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The seascape of demersal fish nursery areas in the North Mediterranean Sea, a first step towards the implementation of spatial planning for trawl fisheries
F Colloca, G Garofalo, I Bitetto, MT Facchini, F Grati, A Martiradonna, ...
PloS one 10 (3), e0119590, 2015
Bayesian hidden Markov modelling using circular‐linear general projected normal distribution
G Mastrantonio, A Maruotti, G Jona‐Lasinio
Environmetrics 26 (2), 145-158, 2015
Discussing the “big n problem”
GJ Lasinio, G Mastrantonio, A Pollice
Statistical Methods & Applications 22 (1), 97-112, 2013
Parapenaeus longirostris (Lucas, 1846) an early warning indicator species of global warming in the central Mediterranean Sea
F Colloca, G Mastrantonio, GJ Lasinio, A Ligas, P Sartor
Journal of Marine Systems 138, 29-39, 2014
Spatio-temporal circular models with non-separable covariance structure
G Mastrantonio, GJ Lasinio, AE Gelfand
Test 25 (2), 331-350, 2016
The wrapped skew Gaussian process for analyzing spatio-temporal data
G Mastrantonio, AE Gelfand, GJ Lasinio
Stochastic environmental research and risk assessment 30 (8), 2231-2242, 2016
A time-dependent extension of the projected normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure
A Maruotti, A Punzo, G Mastrantonio, F Lagona
Stochastic Environmental Research and Risk Assessment 30 (6), 1725-1740, 2016
A spatial risk assessment model framework for incursion of exotic animal disease into the European Union Member States
RRL Simons, V Horigan, S Ip, RA Taylor, MI Crescio, C Maurella, ...
Microbial Risk Analysis 13, 100075, 2019
Scuba diving damage on coralligenous builders: Bryozoan species as an indicator of stress
E Casoli, L Nicoletti, G Mastrantonio, G Jona-Lasinio, A Belluscio, ...
Ecological indicators 74, 441-450, 2017
Jona Lasinio G, Gelfand AE (2015) Spatio-temporal circular models with non-separable covariance structure
G Mastrantonio
TEST To appear, 0
Distributions-oriented wind forecast verification by a hidden Markov model for multivariate circular–linear data
G Mastrantonio, A Pollice, F Fedele
Stochastic environmental research and risk assessment 32 (1), 169-181, 2018
The joint projected normal and skew-normal: A distribution for poly-cylindrical data
G Mastrantonio
Journal of Multivariate Analysis 165, 14-26, 2018
Counts of unique females with cubs in the Apennine brown bear population, 2006–2014
E Tosoni, L Boitani, G Mastrantonio, R Latini, P Ciucci
Ursus 28 (1), 1-14, 2017
Mapping of nursery and spawning grounds of demersal fish
F Colloca, MT Spedicato, E Massutí, G Garofalo, G Tserpes, P Sartor, ...
Mediterranean Sensitive Habitats (MEDISEH) Final Report,(2013) DG MARE …, 2013
Invariance properties and statistical inference for circular data
G Mastrantonio, GJ Lasinio, A Maruotti, G Calise
Statistica Sinica 29 (1), 67-80, 2019
The method of measuring radon and other environmental parameters as earthquake precursors
L Nicoĺ, G Massimiani, M Zucchetti, G Mastrantonio
Fresen. Environ. Bull 26 (1), 332-337, 2017
Hidden Markov model for discrete circular–linear wind data time series
G Mastrantonio, G Calise
Journal of Statistical Computation and Simulation 86 (13), 2611-2624, 2016
Social network analysis and risk assessment: An example of introducing an exotic animal disease in Italy
C Maurella, G Mastrantonio, S Bertolini, MI Crescio, F Ingravalle, A Adkin, ...
Microbial Risk Analysis 13, 100074, 2019
Spatial and Spatio-Temporal Circular Processes with Application to Wave Directions
G Jona-Lasinio, AE Gelfand, G Mastrantonio
Applied Directional Statistics: Modern Methods and Case Studies, 35, 2018
A Hierarchical Multivariate Spatio-Temporal Model for Large Clustered Climate data with Annual Cycles
G Mastrantonio, GJ Lasinio, A Pollice, G Capotorti, L Teodonio, G Genova, ...
arXiv preprint arXiv:1801.00274, 2017
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