Peer-reviewed Articles
2020
Baldi Antognini A, Novelli M, Zagoraiou M, Vagheggini A (2020) Compound optimal allocations for survival clinical trials, BIOMETRICAL JOURNAL, DOI: 10.1002/bimj.201900232 (link)
Capezzuto F, Ancona F, Calculli C, Sion L, Maiorano P, D’Onghia G (2020) Feeding of the deep-water fish Helicolenus dactylopterus (Delaroche, 1809) in different habitats: from muddy bottoms to cold-water coral habitats, Deep-Sea Research Part I, 159, 103252 (link)
Jona Lasinio G, Santoro M, Mastrantonio G (2020) CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data. Journal of Statistical Computation and Simulations, 90, 1315-1345 (link)
Moro S, Jona Lasinio G, Block B, Micheli F, De Leo G, Serena F, Bottaro M, Scacco U, Ferretti F (2020) Abundance and distribution of the white shark in the Mediterranean Sea, Fish and Fishery, 21, 338-349 (link)
Pollice A, Jona Lasinio G, Gaglio M, Blanchet FG, Fano EA (2020) Modelling the effect of directional spatial ecological processes for a river network in Northern Italy, ECOLOGICAL INDICATORS, 112, 106144 (link)
2019
Arima S, Polettini S (2019) A unit level small area model with misclassified covariates. Journal of the Royal Statistical Association Series A, 182, 1439-1462 (link)
Alteri L, Cocchi D, Roli G (2019) Advances in spatial entropy measures, Stochastic Environmental Research and Risk Assessment, 33, 1223–1240 (link)
Alteri L, Cocchi D, Roli G (2019) Measuring heterogeneity in urban expansion via spatial entropy, Environmetrics, 30(2), e2548 (link)
Ameijeiras-Alonso J, Lagona F, Ranalli M and Crujeiras, RM (2019) A circular non-homogeneous hidden Markov field for the spatial segmentation of wildfire occurrences. Environmetrics, 30, e2501 (link)
Baldi Antognini A, Novelli M, Zagoraiou M (2019) Optimal designs for testing hypothesis in multiarm clinical trials. Statistical methods in medical research, 28, 3242-3259(link)
Cafarelli B, Calculli C, Cocchi D (2019) Bayesian hierarchical nonlinear models for estimating coral growth parameters. Environmetrics, e2559 (link)
Cameletti M, Gomez-Rubio V, Blangiardo M (2019) Bayesian modeling for spatially misaligned health and air pollution data through the INLA-SPDE approach. Spatial Statistics, 31, 100353 (link)
Cameletti M, Biondi F (2019) Hierarchical modeling of space-time dendroclimatic fields: Comparing a frequentist and a Bayesian approach. Arctic, Antarctic, and Alpine Research, 51, 115-127 (link)
Capezzuto F, Calculli C, Carlucci R, Carluccio A, Maiorano P, Pollice A, Sion L, Tursi A, D'Onghia G (2019) Revealing the coral habitat effect on benthopelagic fauna diversity in the Santa Maria di Leuca cold-water coral province using different devices and Bayesian hierarchical modelling, AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS, 29, 1608-1622 (link)
Divino F, Ärje J, Penttinen A, Meissner K, Kärkkäinen S (2019) Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates. Ecological Indicators, 106, 105413 (link)
Finazzi F, Napier Y, Scott M, Hills A, Cameletti M (2019), A statistical emulator for multivariate model outputs with missing values, Atmospheric Environment, 199, 415-422 (link)
Finazzi F, Paci, L (2019) Quantifying personal exposure to air pollution from smartphone‐based location data. Biometrics, 75, 1356– 1366 (link)
Franco-Villoria M, Ventrucci M, Rue H (2019), A unified view on Bayesian varying coefficient models, ELECTRONIC JOURNAL OF STATISTICS, 13, 5334 - 5359 (link)
Jona Lasinio G, Pollice A, Fano EA (2019) Generalized biodiversity assessment by Bayesian nested random effects models with spyke-and-slab priors. Statistical and Probability Letters, 144, 52-56 (link)
Lagona F (2019) Copula-based segmentation of cylindrical time series . Statistics and Probability Letters, 144, 16-22 (link)
Lagona F (2019) A Copula-Based Hidden Markov Model for Toroidal Time Series. In: Petrucci A., Racioppi F., Verde R. (eds) New Statistical Developments in Data Science. SIS 2017. Springer Proceedings in Mathematics & Statistics, vol 288. Springer (link)
Lagona F and Barbi E (2019) Segmentation of mortality surfaces by hidden Markov models. Statistical Modelling, 19, 1-23 (link)
Pollice A, Jona Lasinio G, Rossi R, Amato M, Kneib T, Lang S (2019) Bayesian Measurement Error Correction in Structured Additive Distributional Regression with an Application to the Analysis of Sensor Data on Soil-Plant Variability. Stochastic Environmental Research and Risk Assessment, 33, 747-763 (link)
Mastrantonio G, Jona Lasinio G, Maruotti A, Calise G (2019) Invariance properties and statistical inference for circular data, Statistica Sinica, 29, 67-80 (link)
Mastrantonio G, Jona Lasinio G, Pollice A, Capotorti G, Teodonio L, Genova G, Blasi C (in press) A Hierarchical Multivariate Spatio-Temporal Model for Clustered Climate data with Annual Cycles. The Annals of Applied Statistics, 13, 797-823 (link)
Mastrantonio G, Grazian C, Mancinelli S, Bibbona E (2019) New formulation of the logistic-Gaussian process to analyze trajectory tracking data. Annals of Applied Statistics, 13, 2483-2508 (link)
Sion L, Calculli C, Capezzuto F, Carlucci R, Carluccio A, Cornacchia L, Maiorano P, Pollice A, Ricci P, Tursi A, D'Onghia G (2019) Does the Bari Canyon (Central Mediterranean) influence the fish distribution and abundance? Progress in Oceanography, 170, 81-92 (link)
Tateo A, Miglietta MM, Fedele F, Menegotto M, Pollice A, Bellotti R (2019) A statistical method based on the ensemble probability density function for the prediction of “Wind Days”. Atmoshperic Research, 216, 106-116 (link)
Ventrucci M, Cocchi D, Burgazzi B, Laini A (2019). PC priors for residual correlation parameters in one-factor mixed models, Statistical Methods & Applications (link)
2018
Altieri L, Cocchi D, Roli G (2018) A new approach to spatial entropy measures. Environmental & Ecological Statistics, 25, 95-110 (link)
Baldi Antognini A, Vagheggini A, Zagoraiou M, Novelli M (2018) A new design strategy for hypothesis testing under response adaptive randomization. Electronic Journal of Statistics, 12, 2454–2481 (link)
Castelli E, Papandrea E, Valeri M, Greco FP, Ventrucci M, Casadio S, Dinelli BM (2018) ITCZ trend analysis via Geodesic P-spline smoothing of the AIRWAVE TCWV and cloud frequency datasets. Atmospheric research, 214, 228-238 (link)
Freni-Sterrantino A, Ventrucci M, Rue H (2018) A note on intrinsic conditional autoregressive models for disconnected graphs. Spatial and Spatio-temporal Epidemiology, 26, 25-34 (link)
Greco F, Ventrucci M, Castelli E (2018) P-spline smoothing for spatial data collected worldwide. Spatial Statistics, 27, 1-17 (link)
Lagona F (2018) A Hidden Markov Random Field with Copula-Based Emission Distributions for the Analysis of Spatial Cylindrical Data. Quantitative Methods in Environmental and Climate Research, eds. Cameletti M, Finazzi F (link)
Lagona F (2018) Copula-based segmentation of cylindrical time series. Statistical and Probability Letters, 144, 16-22 (link)
Lagona F (2018) A Hidden Markov Random Field with Copula-Based Emission Distributions for the Analysis of Spatial Cylindrical Data, in Quantitative Methods in Environmental and Climate Research (eds. Cameletti M, Finazzi F), Springer (link)
Martínez-Minaya J, Cameletti M, Conesa D, Pennino MG (2018) Species distribution modeling: a statistical review with focus in spatio-temporal issues. Stochastic Environmental Research and Risk Assessment, 32, 3227–3244 (link)
Mastrantonio G (2018) The joint projected normal and skew-normal: A distribution for poly-cylindrical data. Journal of Multivariate Analysis, 165, 14-26 (link)
Mastrantonio G, Pollice A, Fedele F (2018) Distributions-oriented wind forecast verification by a hidden Markov model for multivariate circular–linear data. Stochastic Environmental Research and Risk Assessment, 32, 169-181 (link)
Noviello M, Cafarelli B, Calculli C, Sarris A, Mairota P (2018) Investigating the distribution of archaeological sites: Multiparametric vs probability models and potentials for remote sensing data. Applied Geography, 95, 34-44 (link)
Punzo A, Ingrassia S, Maruotti A (2018) A.Multivariate generalized hidden Markov regression models with random covariates: Physical exercise in an elderly population, Statistics in Medicine, 37, 2797-2808 (link)
Ranalli M, Lagona F, Picone M and Zambianchi E (2018) Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach. Journal of the Royal Statistical Society C, 67, 575-598 (link)
2017
Altieri L, Cocchi D, Roli G. (2017) The use of spatial information in entropy measures. ArXiv:1703.06001 (link)
Arima S, Bell W, Franco C, Datta G, Liseo B (2017) Multivariate Fay–Herriot Bayesian estimation of small area means under functional measurement error, Journal of the Royal Statistical Society A, 180, 1191-1209 (link)
Cafarelli B, Calculli C, Cocchi D, Pignotti, E. (2017) Hierarchical non-linear mixed-effects models for estimating growth parameters of western Mediterranean solitary coral populations. Ecological Modelling 346, 1–9 (link).
Jona Lasinio G, Pollice A, Marcon E, Fano E (2017) 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. Ecological Indicators, 80, 303-315 (link)
Maruotti A, Bulla J, Lagona F, Picone M, Martella F (2017) Dynamic mixtures of factor analyzers to characterize multivariate air pollutant exposures. Annals of Applied Statistics, 11, 1617-1648 (link)
Tateo A, Miglietta M M, Fedele F, Menegotto M, Monaco A, Bellotti R (2017) Ensemble using different Planetary Boundary Layer schemes in WRF model for wind speed and direction prediction over Apulia region. Advances in Science and Research, 14, 95-102 (link)