gianluca mastrantonio
gianluca mastrantonio
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Citeret af
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
Discussing the" big n problem"
GJ Lasinio, G Mastrantonio, A Pollice
Statistical Methods & Applications 22 (1), 97, 2013
Bayesian hidden Markov modelling using circular‐linear general projected normal distribution
G Mastrantonio, A Maruotti, G Jona‐Lasinio
Environmetrics 26 (2), 145-158, 2015
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, G Jona Lasinio, AE Gelfand
Test 25, 331-350, 2016
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
The wrapped skew Gaussian process for analyzing spatio-temporal data
G Mastrantonio, AE Gelfand, G Jona Lasinio
Stochastic environmental research and risk assessment 30, 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, 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
The joint projected normal and skew-normal: A distribution for poly-cylindrical data
G Mastrantonio
Journal of Multivariate Analysis 165, 14-26, 2018
A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles
G Mastrantonio, GJ Lasinio, A Pollice, G Capotorti, L Teodonio, G Genova, ...
The Annals of Applied Statistics 13 (2), 797-823, 2019
Predictive probability of success using surrogate endpoints
G Saint‐Hilary, V Barboux, M Pannaux, M Gasparini, V Robert, ...
Statistics in Medicine 38 (10), 1753-1774, 2019
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, 169-181, 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, DG MARE Specific …, 2013
Correlates of parasites and pseudoparasites in wolves (Canis lupus) across continents: A comparison among Yellowstone (USA), Abruzzo (IT) and Mercantour (FR) national parks
B Molnar, P Ciucci, G Mastrantonio, B Betschart
International Journal for Parasitology: Parasites and Wildlife 10, 196-206, 2019
Invariance properties and statistical inference for circular data
G Mastrantonio, GJ Lasinio, A Maruotti, G Calise
Statistica Sinica 29 (1), 67-80, 2019
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
Jona Lasinio G, Gelfand AE (2015) Spatio-temporal circular models with non-separable covariance structure
G Mastrantonio
TEST To appear, 0
Using network analysis to identify seasonal patterns and key nodes for risk‐based surveillance of pig diseases in Italy
MI Crescio, G Mastrantonio, S Bertolini, C Maurella, A Adkin, F Ingravalle, ...
Transboundary and Emerging Diseases 68 (6), 3541-3551, 2021
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