46 Emery X,. Bevilacqua M., Porcu E., Caamaño C., (2025) Matern and Generalized Wendland correlation models that parameterize hole effect, smoothness, and support Journal of Multivariate Analysis . Accepted
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45 Faouzi T., Porcu E., Bevilacqua M., (2025) Space-Time Smoothness and Parsimony in Covariance Functions Mathematical Methods in the Applied Sciences DOI:10.1002/mma.11100
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44 Bevilacqua M., Emery X., and Faouzi T.. (2024) Extending the generalized Wendland covariance model Electronic Journal of Statistics. 18(2) , 2771 -- 2797
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43 Porcu E., Bevilacqua M., Schaback R. and Oates Chris J. O. (2024) The Matern Model: A Journey through Statistics, Numerical Analysis and Machine Learning Statistical Science . 39(3), 469-492. DOI: 10.1214/24-STS923
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42 Caamaño C., Bevilacqua M., López C., Morales-Oñate V. (2024) Nearest neighbours weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-hh random fields estimation Computational Statistics and Data Analysis . DOI:10.1016/j.csda.2023.107887
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41 Bevilacqua M., Alvarado E., Caamaño C., (2023) A flexible Clayton-like spatial copula with application to bounded support data Journal of Multivariate Analysis . DOI:10.1016/j.jmva.2023.105277
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40 Faouzi T., Porcu E. , Kondrashuk I., Bevilacqua M., (2023) Convergence Arguments to Bridge Cauchy and Matern Covariance Functions Statistical Papers . DOI: 10.1007/s00362-023-01400-9
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39 Morales-Navarrete D., Bevilacqua M., Caamaño C., Castro L.M. (2022) Modelling Point Referenced Spatial Count Data: A Poisson Process Approach Journal of the American Statistical Association . DOI: 10.1080/01621459.2022.2140053
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38 Blasi F., Caamaño C., Bevilacqua M., Furrer R. (2022) A selective view of climatological data and likelihood estimation Spatial Statistics . 50, 100596 DOI:10.1016/j.spasta.2022.100596
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37 Bevilacqua M., Caamaño C., Porcu E. (2022) Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics Journal of Multivariate Analysis . DOI:10.1016/j.jmva.2022.104949
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36 Bevilacqua M., Caamaño C., Arellano-Valle R. B., Camilo Gomez C. (2022) A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers. TEST 31, 644–674 (2022).
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35 Bachoc F., Porcu E., Bevilacqua M, Furrer R, Faouzi T. (2022) Asymptotically Equivalent Prediction in Multivariate Geostatistics. 28(4): 2518-2545 Bernoulli. DOI: 10.3150/21-BEJ1427
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34 Faouzi T., Porcu E., Bevilacqua M. (2022) Space-Time Estimation and Prediction under under fixed domain asymptotics with compactly supported covariance functions Statistica Sinica. 32, 1187-1203 DOI:10.5705/ss.202020.0010
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33 Morales-Oñate V., Crudu F., Bevilacqua M. (2021) Blockwise Euclidean likelihood for spatio-temporal covariance models. Econometrics and Statistics. 32 1187-1203 DOI:10.1016/j.ecosta.2021.01.001
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32 Porcu E., Zastavnyi V., Bevilacqua M., Emery X. (2020) Stein Hypothesis and Screening Effect for Covariances with Compact Support. Electronic Journal of Statistics. 14(2), 2510-2528. DOI 10.1214/20-EJS1719
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31 Bevilacqua M., Caamaño C., Gaetan C. (2020)On modeling positive continuous data with spatio-temporal dependence. Environmetrics 31:e2632.
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30 Bevilacqua M., Porcu E., Diggle P. (2020) Families of Covariance Functions for Bivariate Random Fields on Spheres. Spatial Statistics. 40, DOI:10.1016/j.spasta.2020.100448
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29 Bevilacqua M., Caamaño C., Arellano Valle R.B., Morales-Oñate V. (2021) Non-Gaussian Geostatistical Modeling using (skew) t Processes. Scandinavian Journal of Statistics. 48: 212– 245. DOI: 10.1111/sjos.12447
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28 Porcu, E. Mendoza, E., Senoussi, R. and Bevilacqua, M. (2020) Reduction Problems and Deformation Approaches to Nonstationary Covariance Functions over Spheres. Electronic Journal of Statistics. 14(1), 890-916. DOI: 10.1214/19-EJS1670.
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27 Porcu E., Bevilacqua M. and Genton, M. (2020). Nonseparable, Space-Time Covariance Functions with Dynamical Compact Supports. Statistica Sinica. 30, 719-739 DOI: 10.5705/ss.202017.0385
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26 Faouzi T., Porcu E., Bevilacqua M., I. Kondrashuk (2020) Zastavnyi Operators and Positive Definite Radial Functions. Statistics and Probability Letters. 157, DOI: 10.1016/j.spl.2019.108620.
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25 Bevilacqua M., Faouzi T. (2019) Estimation and prediction using generalized Cauchy covariance function under fixed domain asymptotics. Electronic Journal of Statistics. 13(2), 3025-3048. DOI: 10.1214/19-EJS1597.
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24 Bachoc F., Bevilacqua, M., Velandia D., (2019). Composite likelihood estimation for a Gaussian process under fixed domain asymptotics. Journal of Multivariate Analysis 174 DOI: 10.1016/j.jmva.2019.104534
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23 Bevilacqua M., Faouzi T., Furrer R., Porcu E. (2019) Estimation and prediction using generalized Wendland covariance function under fixed domain asymptotics. Annals of Statistics. 47(2) 828–856 DOI: 10.1214/17-AOS1652
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22 Porcu E., Bevilacqua, M., Hering A., (2018) The Shkarofsky-Gneiting Class of Covariance Models for Bivariate Gaussian Random Fields. Stat. 2018;7:e207. DOI: https://doi.org/10.1002/sta4.207
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21 Arafat A., Porcu E., Bevilacqua M.and Mateu J. (2018) Equivalence and Orthogonality of Gaussian Measures on Spheres. Journal of Multivariate Analysis. 167, 306-318 DOI: 10.1016/j.jmva.2018.05.005
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20 Cuevas F., Porcu, E., Bevilacqua, M. (2017). Contours and Dimples for the Gneiting class of Space-Time Covariance Functions. Biometrika 104(4), 995-1001. DOI: 10.1093/biomet/asx048
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19. Alegrıa A. , Caro S., Bevilacqua M., Porcu E., Clarke J. (2017) Estimating covariance functions of multivariate skew-Gaussian random fields on the sphere. Spatial Statistics 22, 2 388-402 DOI: 10.1016/j.spasta.2017.07.009
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18. Velandia D., Bachoc F., Bevilacqua, M., Gendre X., Loubes J.M., (2017). Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics. Electronic Journal of Statistics. 11(2) 2978-3007 DOI: 10.1214/17-EJS1298.
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17. Bevilacqua M., Alegria A., Velandia D.,Porcu E. (2016) Composite likelihood inference for multivariate Gaussian random fields. Journal of Agricultural Biological and Environmental Statistics. 21(3), 448-469 DOI: 10.1007/s13253-016-0256-3.
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16. Alegria A., Bevilacqua, M., Porcu, E. (2016) Likelihood-based inference for multivariate space-time wrapped-Gaussian fields. Journal of Statistical Computation and Simulation. 86(13) 2583-2597.
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15. Bevilacqua M., Fassò A., Gaetan C., Porcu E. and Velandia D. (2016). Covariance tapering for multivariate Gaussian random fields estimation. Statistical Methods and Application. 25(1) 21-37. DOI: 10.1007/s10260-015-0338-3.
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14. Bevilacqua , M., Vallejos, R. and Velandia D. (2015). Assessing the significance of the correlation between the components of a bivariate Gaussian random field. Environmetrics. 26(8), 545-556. DOI: 10.1002/env.2367
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13. Porcu, E.,Bevilacqua, M. and Genton M. (2015) Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere Journal of the American Statistical Association. 111(514) 888-898.
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12. Bevilacqua, M., Hering, A.S. and Porcu, E. (2015). On the flexibility of multivariate covariance models:Comment on the Paper by Genton and Kleiber. Statistical Science. 30(2), 167–169. DOI:10.1214/15-STS516
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11. Padoan, S., Bevilacqua, M. (2015). Analysis of Random Fields Using CompRandFld. Journal of the Statistical Software, 63(9) 1-27. DOI: 10.18637/jss.v063.i09
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10. Bevilacqua, M., Gaetan, C. (2015) Comparing composite likelihood methods based on pairs for spatial Gaussian random fields. Statistics and Computing, 25(5), 877-892. DOI: 10.1007/s11222-014-9460-6
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9. Bevilacqua, M., Crudu, F., E. Porcu (2015). Combining Euclidean and composite likelihood for binary spatial data estimation. Stochastic Environmental Research and Risk Assessment , 29(2), 335-346. DOI: 10.1007/s00477-014-0938-8.
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8. Daley J. D., Porcu E., Bevilacqua M. (2015) Classes of compactly supported covariance functions for multivariate random fields. Stochastic Environmental Research and Risk Assessment. 29(4), 1249-1263.
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7. Guillot, G. Schilling, R. Porcu, E. and Bevilacqua, M. (2014). Valid covariance models for the analysis of geographical genetic variation. Methods in Ecology and Evolution, 5(4) 329-335
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6. Porcu, E., Daley, D.J., Buhmann, M. and Bevilacqua, M. (2013). Radial basis functions for multivariate geostatistics. Stochastic Environmental Research Risk Assessment ,27(4), 909-922.
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5. Bevilacqua, M., Gaetan, C., Mateu, J. and Porcu, E. (2012) Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach. Journal of the American Statistical Association ,107(497), 268-280.
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4. Bevilacqua, M., Mateu, J., Porcu, E., Zhang, H. and Zini, A. (2009). Weighted composite likelihood- based tests for space-time separability of covariance functions. Statistics and Computing, 20 (3), 283-293.
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3. Debon, A., Montes, F., Mateu, J., Porcu, E. and Bevilacqua, M. (2008). Modeling residuals dependence in dynamic life tables: a geostatistical approach. Computational Statistics and Data Analysis, 52, 3128-3147.
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2. Mateu, J., Porcu, E., Christakos, G. and Bevilacqua, M. (2007). Fitting negative spatial covariances to geothermal field temperatures in Nea Kessani (Greece). Environmetrics, 18, 759-773.
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1. Porcu, E., Mateu, J. and Bevilacqua, M. (2007). Covariance functions which are stationary or nonstationary in space and stationary in time. Statistica Neerlandica, 61 (3), 358-382
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Vallejos, R., Osorio, F., Bevilacqua, M. (2020). Spatial Relationships Between Two Georeferenced Variables: With Applications in R.
https://link.springer.com/book/10.1007%2F978-3-030-56681-4
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