Peer-reviewed articles

2017

  • Franco-Villoria M, Ignaccolo R (2017) Bootstrap based uncertainty bands for prediction in functional kriging. Spatial Statistics 21, 130-148. DOI: 10.1016/j.spasta.2017.06.005.
  • Franco-Villoria M, Ignaccolo R (2017) Universal, Residual and External Drift Functional Kriging. In: Mateu J, Giraldo R (eds.) Geostatistical Functional Data Analysis: Theory and Methods. Wiley (in preparation).
  • Freni-Sterrantino A, Ventrucci M, Rue H (2017) A note on intrinsic Conditional Autoregressive models for disconnected graphs. Arxiv eprint 1705.04854, https://arxiv.org/pdf/1705.04854.pdf
  • Paci L, Finazzi F (2017) Dynamic model-based clustering for spatio-temporal data, Statistics and Computing, doi:10.1007/s11222-017-9735-9.

2016

  • Altieri L, Cocchi D, Greco F, Illian JB,  Scott M (2016) Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes. Journal of Statistical Computation and Simulation, 86(13), 2531-2545.
  • Blangiardo M, Finazzi F, Cameletti M (2016) Two-stage Bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions. Spatial and Spatio-temporal Epidemiology; 18, 1-12, doi: 10.1016/j.sste.2016.03.001.
  • Bruno F, Greco F, Ventrucci M (2016) Non-parametric regression on compositional covariates using Bayesian P-splines. Statistical Methods & Applications, 25(1), 75-88, doi:10.1007/s10260-015-0339-2
  • Bruno F, Cameletti M, Franco-Villoria M, Greco F, Ignaccolo R, Ippoliti L, Valentini P, Ventrucci M (2016) A survey on ecological regression for health hazard associated with air pollution. Spatial Statistics; 18, Part A, 276-299, doi:10.1016/j.spasta.2016.05.003
  • Cameletti M, Finazzi F (2016) An analysis of temporal and spatial patterns in Italian hospitalization rates for multiple diagnosis. Spatial and Spatio-temporal Epidemiology; 19, 37-45, doi: 10.1016/j.sste.2016.04.012.
  • Fabrizi E, Greco F, Trivisano C (2016) On the specification of prior distributions for variance components in disease mapping models. Statistica, 76(1), 93-111.
  • Ippoliti L, Martin RJ, Romagnoli L (2016)  Efficient likelihood computations for some multivariate Gaussian Markov random fields. Submitted to Bernoulli.
  • Sarra A, Fontanella L, Valentini P, Palermi S (2016) Quantile regression and Bayesian cluster detection to identify radon prone areas. Journal of Environmental Radioactivity, 164, 354-364, doi: 10.1016/j.jenvrad.2016.06.014.
  • Ventrucci M, Rue H (2016). Penalized complexity priors for degrees of freedom in Bayesian P-splines, Statistical Modelling, 16, 429-453.
  • Ventrucci M, Cocchi D, Scott M (2016) Smoothing of land use maps for trend and change detection in urbanization, Environmetal and ecological statistics, 23, 565 – 584.

2015

  • Blangiardo M, Cameletti M (2015) Spatial and Spatio-temporal Bayesian Models with R-INLA, Wiley, ISBN: 978-1-118-32655-8.
  • Bruno F, Greco F, Ventrucci M (2015) Spatio-temporal regression on compositional covariates: Modelling vegetation in a Gypsum outcrop. Environmental and Ecological Statistics, 22(3), 445-463, doi:10.1007/s10651-014-0305-4.
  • Cocchi D, Greco F, Scalone F (2015) Assessing the evolution of territorial disparities in health. Revstat Statistical Journal, 13(1), 1-20.
  • Fontanella L, Ippoliti L, Sarra A, Valentini P, Palermi S (2015)  Hierarchical Generalised Latent Spatial Quantile Regression Models with Applications to Indoor Radon Concentration. Stochastic Environmental Research and Risk Assessment, 29, 357–367.
  • Fontanella S, Fontanella L, Ippoliti L, Valentini P (2015) Learning Non-linear Structures with Gaussian Markov Random Fields. Procedia Environmental Sciences, Elsevier, 26, 38-44.
  • Gomez-Rubio V, Cameletti M, Finazzi F (2015) Analysis of massive marked point patterns with stochastic partial differential equations, Spatial Statistics, 14, Part B, 179-196.
  • Ignaccolo R, Franco-Villoria M, Fassò A (2015) Modelling collocation uncertainty of 3D atmospheric profiles. Stochastic Environmental Research and Risk Assessment, 29(2), 417-429.
  • Paci L, Gelfand AE, Cocchi D (2015) Quantifying uncertainty for temperature maps derived from computer models. Spatial Statistics, 12, 96-108.

2014

  • Altieri L, Cocchi D, Pezzi G, Scott M, Ventrucci M (2014) Urban sprawl scatterplots for Urban Morphological Zones data. Ecological Indicators, 36, 315-323, DOI 10.1016/j.ecolind.2013.07.011.
  • Fassò, R. Ignaccolo, F. Madonna, B. Demoz, M. Franco-Villoria (2014) Statistical modelling of collocation uncertainty in atmospheric thermodynamic profiles. Atmospheric Measurement Techniques, 7, 1803-1816. DOI: 10.5194/amt-7-1803-2014.
  • Ignaccolo R, Mateu J, Giraldo R (2014) Kriging with external drift for functional data for air quality monitoring. Stochastic Environmental Research and Risk Assessment, 28(5), 1171-1186. DOI 10.1007/s00477-013-0806-y.
  • Pasculli A, Palermi S, Sarra A, Miccadei E, Piacentini T (2014) A modelling methodology for the analysis of radon potential based on environmental geology and geographically weighted regression. Environmental Modelling and Software, 54, 165-181. DOI: 10.1016/j.envsoft.2014.01.006.

2013

  • Bruno F, Cocchi D,  Greco F, Scardovi E (2013) Spatial reconstruction of rainfall fields from rain gauge and radar data. Stochastic Environmental Research and Risk Assessment. DOI 10.1007/s00477-013-0812-0.
  • Cameletti M (2013) The Change of support problem through the INLA approach, Statistica e Applicazioni, Special Issue, 29-43.
  • Ippoliti Luigi, Martin Richard, Bhansali Rajendra (2013). Rational spectral density models for lattice data. Spatial Statistics, 6, 91-108.
  • Paci L, Gelfand EA, Holland MD (2013) Spatio-temporal modeling for real-time ozone forecasting. Spatial Statistics, 4, 79-93.

Peer-reviewed conference proceedings

2017

  • Franco-Villoria M, Scott M (2017) Quantile regression for functional data. Proceedings of the Italian Statistical Society Conference. Statistics and Data Science: new challenges, new generations, Firenze, 28-30 June 2017.
  • Ventrucci, M, Franco-Villoria M, Rue H (2017) Penalized complexity priors for varying coefficient models. Proceedings of the 32nd International Workshop on Statistical Modelling (IWSM), Groningen (Netherlands), 2-7 July 2017.

2016

  • Fontanella L, Ignaccolo R, Ippoliti L, Valentini P (2016) A Simple Generalised Space Time Model, Proceedings of the 8th International Workshop on Spatio-Temporal Modelling, Universitat de Valencia, ISBN 978-84-608-8468-2, pp.15-17.
  • Fontanella L, Ippoliti L., Valentini P (2016) Inference with Multivariate GMRFs on Regular Lattices with General Boundary Conditions, Proceedings of the Spatio-temporal modelling METMA VIII, Valencia, 1-3 June, 2016, ISBN: 978-84-608-8468-2.
  • Gamerman D., Ippoliti L., Valentini P (2016) Dynamic Generalized Structual Equation Models, Proceedings of the annual meeting of Japanese Society of Computational Statistics. Kyioto, 19-20 May 2016, DOI 10.20551/jscstaikai.30.0_109.
  • Ignaccolo R, Franco-Villoria M (2016) Functional Kriging Uncertainty Assessment, Proceedings of SIMAI 2016, the XIII biannual congress of the Italian Society of Industrial and Applied Mathematics (SIMAI), ISBN 978-88-6493-035-0, pp. 566-570.
  • Paci L, Gelfand AE, Beamonte MA, Gargallo P, Salvador M (2016) Bayesian modeling of spatio-temporal point patterns in residential property sales. In Pratesi M, Perna C (Ed’s) Proceedings of SIS 2016, Salerno, 8-10 June, 2016, ISBN 9788861970618, pp 1-6.
  • Paci L, Bonafé G, Trivisano C (2016) Dynamic data fusion approach for air quality assessment. In Steyn D, Chaumerliac N (Ed’s) Air Pollution Modelling and its Application XXIV – Proceedings of ITM 2015, Montpellier, 4-8 May, 2015, Springer, ISBN 9783319244785, pp. 629-633.

2015

  • Cocchi D, Paci L, Trivisano C (2015) Multivariate downscaling for non-Gaussian data. In Mola F, Conversano C (Ed’s) Proceedings of CLADAG 2015, Santa Margherita di Pula, 8-10 October, 2015. CUEC Editrice, ISBN 9788884677499, pp 191-194.
  • Fassò A, Franco-Villoria M, Ignaccolo R (2015) A model for collocation uncertainty of atmospheric profiles, Proceedings of the 60th World Statistics Congress, International Statistical Institute, ISBN – 978-90-73592-35-3, pp. 3224-3226.
  • Franco-Villoria M, Ignaccolo R, Fassò A, Madonna F, Demoz BB (2015) Collocation uncertainty in climate monitoring, in: A. Fassò and A. Pollice (Editors).  Proceedings of the GRASPA2015 Conference, Bari, 15-16 June, 2015. Special issue of GRASPA Working Papers. ISSN 2037-7738.
  • Ignaccolo R, Franco-Villoria M (2015) Uncertainty evaluation for functional kriging: an application to the Canadian temperature data set, Proceedings of the 60th World Statistics Congress, International Statistical Institute, ISBN – 978-90-73592-35-3, pp. 2713-2718.

2014

  • Berchialla P, Blangiardo M, Cameletti M, Finazzi F, Franco-Villoria M, Ignaccolo R (2014) Spatial model for cardio-respiratory diseases hospital admission in Torino province. Proceedings of the METMAVII – GRASPA 14 Conference, Torino, 10-12 September, 2014. Special issue of GRASPA Working Paper ISSN: 2037-7738, pp.1-4.
  • Berchialla P, Blangiardo M, Cameletti M, Finazzi F, Franco-Villoria M, Ignaccolo R (2014) Spatial modelling for air pollution epidemiology:hospital admission risk for cardio-respiratory diseases in Torino province, in S. Cabras, T. Di Battista and W. Racugno (Ed’s), Proceedings of the 47th Scientific Meeting of the Italian Statistical Society, Cagliari, 11-13 June, 2014. CLUEC editore ISBN 978-88-8467-874-4, pp.1-6.
  • Bruno F, Paci L (2014) Spatio-temporal model for short-term predictions of air pollution data. In Lanzarone E and Ieva F (Ed’s), The contribution of Young Researchers to Bayesian Statistics – Proceedings of BAYSM2013. Milan, 5-6 June, 2013. ISBN 978-3-319-02083-9.
  • Bruno F, Greco F, Ventrucci M (2014) Regression on compositional covariates: assessing substrate suitability for vegetation. Joint METMAVII and GRASPA14Workshop. Torino, Italy, September 10-12, 2014 ISSN: 2037-7738.
  • Fontanella L, Ippoliti L., Sarra A. Valentini P (2014) Regression Analysis in a Data Rich Environment. Joint METMAVII and GRASPA14Workshop. Torino, Italy, September 10-12, 2014 ISSN: 2037-7738.
  • Franco-Villoria M, Ignaccolo R (2014) Kriging uncertainty for functional data: a comparison study. Proceedings of the METMAVII – GRASPA 14 Conference, Torino, 10-12 September, 2014. Special issue of GRASPA Working Paper ISSN: 2037-7738, pp.1-4.
  • Franco-Villoria M, Ignaccolo R (2014) Uncertainty evaluation in functional kriging with external drift, in E.G. Bongiorno, E. Salinelli, A. Goia, P. Vieu (Ed’s), Contributions in infinite-dimensional statistics and related topics (Proceedings of the Third International Workshop on Functional and Operatorial Statistics (IWFOS), Stresa, 19-21 June, 2014). Società Editrice Esculapio, ISBN 978-88-7488-763-7, pp.113-118.
  • Franco-Villoria M, Ignaccolo R (2014) Kriging for functional data: uncertainty assessment, in S. Cabras, T. Di Battista and W. Racugno (Ed’s), Proceedings of the 47th Scientific Meeting of the Italian Statistical Society, Cagliari, 11-13 June, 2014. CLUEC editore ISBN 978-88-8467-874-4, pp.1-6.
  • Fontanella L, Ippoliti L, Sarra A, Valentini P, Palermi S (2014) Bayesian structural equation modeling for factors influencing residential radon levels. Proceedings of the SIS2014 Statistical Conference, Cagliari, 11-13 June, 2014.
  • Paci L, Cocchi D, Gelfand AE (2014) Quantifying uncertainty associated with a numerical model output. In Cabras S, Di Battista T, Racugno W (Ed’s) Proceedings of SIS 2014, Cagliari, 11-13 June, 2014, CUEC Editrice, ISBN 9788884678744, pp. 1-6.
  • Sarra A, Nissi E (2014) Cost-effectiveness analysis of radon control actions. Proceedings of the Joint Meeting METMA VII and GRASPA14, Torino, 10-12 September, 2014.

2013

  • Bruno F, Paci L (2013) Hierarchical spatio-temporal models for short-term predictions of air pollution data. In Brentari E and Carpita M (Ed’s), Advances in Latent Variables, Vita e Pensiero, Milan, Italy. Proceedings of the SIS2013 Statistical Conference, Brescia, 19-21 June, 2013. ISBN 978-88-343-2556-8.
  • Cameletti M (2013) The INLA approach for disease mapping and health risk assessment. In Brentari E and Carpita M (Ed’s), Advances in Latent Variables, Vita e Pensiero, Milan, Italy. Proceedings of the SIS2013 Statistical Conference, Brescia, 19-21 June, 2013. ISBN 978-88-343-2556-8.
  • Finazzi F, Miller C, Scott M.E (2013) A model-based clustering approach for the analysis of environmental time series. In Muggeo V.M.R. et al. (Ed’s 2013), Proceedings of the 28th International Workshop on Statistical Modelling, Vol. 1, 8-12 July, 2013. ISBN 978-88-96251-47-8.

  • Finazzi F, Scott M.E, Miller C (2013) The estimation of latent temporal patterns in multivariate geolocated time series. In Brentari E and Carpita M (Ed’s), Advances in Latent Variables, Vita e Pensiero, Milan, Italy. Proceedings of the SIS2013 Statistical Conference, Brescia (I), June 19-21, 2013, ISBN 978-88-343-2556-8.
  • Ignaccolo R (2013) Functional Data Modeling in climatology. In Brentari E and Carpita M (Ed’s), Advances in Latent Variables, Vita e Pensiero, Milan, Italy. Proceedings of the SIS2013 Statistical Conference, Brescia, 19-21 June, 2013. ISBN 978-88-343-2556-8.
  • Miller C, Scott M.E, Finazzi F, Haggarty R (2013) Coherency in space of lake and river temperature and water quality records. In Brentari E and Carpita M (Ed’s), Advances in Latent Variables, Vita e Pensiero, Milan, Italy. Proceedings of the SIS2013 Statistical Conference, Brescia, 19-21 June, 2013. ISBN 978-88-343-2556-8.
  • Vagheggini A, Bruno F, Cocchi D. (2013) Estimating spatial quantities under a design-based framework. In Nicolussi F and Mecatti F (Ed’s), Book of Abstracts of the 3rd Italian Conference on Survey methodology, libreriauniversitaria.it edizioni. Milan, 26-28 June, 2013. ISBN 978-88-6292-390-3.
  • Ventrucci M, Cocchi D, Scott M (2013) Bayesian P-spline models for land use raster datasets. In Proceedings of the 28th International Workshop on Statistical Modelling. vol. 1. Palermo, 8-12 July, 2013. ISBN 9788896251478.