Michela Cameletti
TitleCited byYear
Spatial and spatio-temporal Bayesian models with R-INLA
M Blangiardo, M Cameletti
John Wiley & Sons, 2015
Spatial and Spatio-Temporal models with R-INLA
M Blangiardo, M Cameletti, G Baio, H Rue
Spatial and Spatio-temporal Epidemiology, 2013
Spatio-temporal modeling of particulate matter concentration through the SPDE approach
M Cameletti, F Lindgren, D Simpson, H Rue
AStA Advances in Statistical Analysis, 1-23, 2011
Comparing spatio‐temporal models for particulate matter in Piemonte
M Cameletti, R Ignaccolo, S Bande
Environmetrics, 2011
Air quality monitoring using heterogeneous networks
A Fasso, M Cameletti, O Nicolis
Environmetrics 18 (3), 245-264, 2007
The EM algorithm in a distributed computing environment for modelling environmental space-time data
A Fassņ, M Cameletti
Environmental Modelling & Software 24 (9), 1027-1035, 2009
A unified statistical approach for simulation, modeling, analysis and mapping of environmental data
A Fass˛, M Cameletti
Simulation 86 (3), 139-153, 2010
Comparing air quality in Italy, Germany and Poland using BC indexes
O Bodnar, M Cameletti, A Fassņ, W Schmid
Atmospheric Environment 42 (36), 8412-8421, 2008
Incorporating spatial autocorrelation in rarefaction methods: Implications for ecologists and conservation biologists
G Bacaro, A Altobelli, M Cameletti, D Ciccarelli, S Martellos, MW Palmer, ...
Ecological indicators 69, 233-238, 2016
Two-stage Bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions
M Blangiardo, F Finazzi, M Cameletti
Spatial and spatio-temporal epidemiology 18, 1-12, 2016
Species distribution modeling: a statistical review with focus in spatio-temporal issues
J MartÝnez-Minaya, M Cameletti, D Conesa, MG Pennino
Stochastic environmental research and risk assessment 32 (11), 3227-3244, 2018
Stem: Spatio-temporal models in r
M Cameletti
R package version 1, 2009
A general spatio-temporal model for environmental data
A Fassˇ, M Cameletti
UniversitÓ degli studi di Bergamo, 2007
Comparing air quality statistical models
M Cameletti, R Ignaccolo, S Bande
arXiv preprint arXiv:1011.1845, 2010
Learning base R
LM Leemis
Lawrence M. Leemis, 2016
Analysis of massive marked point patterns with stochastic partial differential equations
V Gˇmez-Rubio, M Cameletti, F Finazzi
Spatial Statistics 14, 179-196, 2015
An ordered probit model for seismic intensity data
M Cameletti, V De Rubeis, C Ferrari, P Sbarra, P Tosi
Stochastic Environmental Research and Risk Assessment 31 (7), 1593-1602, 2017
Uncertainty decomposition in environmental modelling and mapping.
A Fass˛, M Cameletti, P Bertaccini
SCSC, 867-874, 2007
Comparing estimators of animal abundance: a simulation study
R Borgoni, M Cameletti, P Quatto
Statistica e Ambiente, 2005
Assessment and visualization of threshold exceedance probabilities in complex space–time settings: A case study of air quality in Northern Italy
M Cameletti, R Ignaccolo, D Sylvan
Spatial Statistics 5, 57-68, 2013
The system can't perform the operation now. Try again later.
Articles 1–20