Stefano Castruccio


[12] Crippa P., Castruccio S. and Pryor S.C. (2017). Forecasting Ultrafine Particle Concentrations from Satellite and In-Situ Observations. Journal of Geophysical Research - Atmospheres. 122(3), 1828-1837.

[11] Castruccio S., and Guinness J. (2017). An Evolutionary Spectrum Approach to Incorporate Large-scale Geographical Descriptors on Global Processes. Journal of the Royal Statistical Society - Series C. 66(2), 329344

[10] Castruccio S. (2016). Assessing the Spatio-temporal Structure of Annual and Seasonal Surface Temperature for CMIP5 and Reanalysis. Spatial Statistics. 18, 179-193.

[9] Crippa P., Castruccio S., Archer-Nicholls S., Lebron G.B., Kuwata M., Thota A., Sumin S., Butt E., Wiedinmeyer C., and Spraklen D.V. (2016). Population Exposure to Hazardous Air Quality Due to 2015 Fires in Southeast Asia. Nature Scientific Reports. 6, Article number: 37074.

[8] Castruccio S., Huser R., and Genton M.G. (2016). High-order Composite Likelihood Inference for Max-Stable Distributions and Processes. Journal of Computational and Graphical Statistics. 25(4), 1212-1229.

[7] Castruccio S., and Genton M.G. (2016). Compressing an Ensemble with Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature. Technometrics. 58(3), 319-328.

[6] Genton, M.G., Castruccio S., Crippa, P., Dutta, S., Huser, R., Sun, Y., and Vettori, S. (2015). Visuanimation in Statistics. Stat, 4, 81-96.

[5] Castruccio S., and Genton M.G. (2015). Discussion of "Comparing and Selecting Spatial Predictors using Local Criteria". TEST, 24, 31-34.

[4] Castruccio S., and Genton M.G. (2014). Beyond Axial Symmetry: An Improved Class of Models for Global Data. Stat, 3, 48-55.

[3] Castruccio S., McInerney D.J., Stein M.L., Liu F., Jacob R.L., and Moyer E.J. (2014). Statistical Emulation of Climate Model Projections Based on Precomputed GCM Runs. Journal of Climate, 27(5), 1829-1844.

[2] Castruccio S., and Stein M.L. (2013). Global Space-time Models for Climate Ensembles. Annals of Applied Statistics, 7(3), 1593-1611.

[1] Castruccio S., Bonaventura L., and Sangalli L.M. (2012). A Bayesian Approach to Geostatistical Interpolation with Flexible Variogram Models. Journal of Agricultural, Biological, and Environmental Statistics, 17(2), 209-227.

Under review

Castruccio S., Ombao H., and Genton M.G.. A Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data (arxiv).

Castruccio S., Hammerling D., Sanderson B. and Karspeck A.. Assessing Internal Variability with Few Ensemble Runs.

Castruccio S., and Porcu, E.. A Bridge between Equivalence of Gaussian Measures and SPDE Representations.

Jeong J., Castruccio S., Crippa P., and Genton M.G.. Statistics-Based Compression of Global Wind Fields (arxiv).

Tagle F., Castruccio S., Crippa P., and Genton M.G.. Assessing Potential Wind Energy Resources in Saudi Arabia with a Skew-t Distribution (arxiv).

Mead, I., Castruccio, S., Latif, M.T., Nadzir, M.S.M., Dominick, D., Thota, A. and Crippa, P.. Impact of Biomass Burning on PM10 and CO across Malaysia. A Comparative Study of Observed and Model Data.

Parreno-Centeno M., Castruccio S., van Moorsel A.. Smartphone Continuous Authentication Using Deep Learning Autoencoders.